Network vulnerability assessment relates all the vulnerabilities of a network's components in the context of their configuration and interdependencies and can also include assessing risk emerging from the network's design as a whole, not just the sum of individual network node or network segment vulnerabilities.
https://d3fend.mitre.org/technique/d3f:NetworkVulnerabilityAssessment/
| ID | Name | Description | NIST Rev5 | D3FEND | ISO 27001 | |
| CM0001 | Protect Sensitive Information | Space mission sensitive information spans a broad attack surface and must be inventoried, classified, and protected at a level commensurate with its sensitivity across every location where it resides, including ground systems, contractor networks, and remote access environments. Sensitive material typically includes functional and performance specifications, interface control documents (ICDs), command and telemetry (C&T) databases, uplink protection schemes including disable and bypass features, fault management logic, scripts, simulation and rehearsal results, failure and anomaly resolution records, and architecture and software documentation. Each information type must be assigned a protection level, such as unclassified, controlled, proprietary, or classified, and access must be restricted to personnel with defined roles and a verified need to know. Sensitive data shall be protected at rest and in transit using encryption or other mission-approved safeguards commensurate with its classification, sensitivity, threat exposure, and operational constraints. DLP capabilities shall be applied to systems and data flows where they are technically feasible and effective, with alternative access controls, monitoring, or information-flow protections used where conventional DLP technology is not suitable. Ongoing configuration management must track, control, and document all changes to command procedures and critical database content to prevent unauthorized modification and mission degradation. | AC-25 AC-3(11) AC-4(23) AC-4(25) AC-4(6) CA-3 CM-12 CM-12(1) PL-8 PL-8(1) PM-11 PM-17 SA-3 SA-3(1) SA-3(2) SA-4(12) SA-5 SA-8 SA-8(19) SA-9(7) SC-16 SC-16(1) SC-8(1) SC-8(3) SI-12 SI-21 SI-23 SR-12 SR-7 | D3-AI D3-AVE D3-NVA D3-CH D3-CBAN D3-CTS D3-PA D3-FAPA D3-SAOR | A.8.4 A.8.11 A.8.10 A.5.14 A.8.21 A.5.8 A.5.2 A.5.8 A.8.25 A.8.31 A.8.33 7.5.1 7.5.2 7.5.3 A.5.37 A.8.27 A.8.28 A.5.33 A.8.10 A.5.22 | |
| CM0009 | Threat Intelligence Program | A threat intelligence program enables an organization to systematically collect, analyze, and apply information about adversary capabilities, infrastructure, and intent to inform defensive priorities and drive risk-informed security decisions across the mission lifecycle. For space missions specifically, this may include leveraging available all-source intelligence services or commercial satellite imagery to identify and monitor adversary infrastructure development and acquisition activities that may signal emerging threats to mission assets. Threat intelligence outputs should be operationalized into concrete adjustments to defensive architecture, monitoring priorities, and incident response posture rather than treated as informational products alone. Direct countermeasures against adversary infrastructure identified through this program will fall outside the scope of the mission in the majority of cases; the primary value of the program is in generating actionable awareness that sharpens the organization's own defensive posture. | PM-16 PM-16(1) RA-10 RA-3 RA-3(2) RA-3(3) SA-3 SA-8 SI-4(24) SR-8 | D3-PH D3-AH D3-NM D3-NVA D3-SYSM D3-SYSVA | A.5.7 A.5.7 6.1.2 8.2 9.3.2 A.8.8 A.5.7 A.5.2 A.5.8 A.8.25 A.8.31 A.8.27 A.8.28 | |
| CM0011 | Vulnerability Scanning | Vulnerability scanning systematically identifies known security weaknesses in commercial off-the-shelf (COTS) and open-source software (OSS) components, including vulnerable dependencies and outdated software versions, across spacecraft and ground system environments. Custom-developed code requires separate analysis approaches, such as static and dynamic code analysis, that fall outside the scope of this countermeasure; however, COTS, OSS, and third-party dependencies incorporated into custom-developed software remain within the scope of vulnerability scanning and SCA. Scanning programs should incorporate software composition analysis (SCA) to detect vulnerabilities introduced through third-party libraries and dependency chains, which represent a significant and frequently underestimated attack surface in modern space systems. Scanning tools and processes should conform to recognized interoperability standards that support enumeration of platforms, software flaws, and configuration weaknesses; standardized formatting of checklists and test procedures; and consistent measurement of vulnerability impact. Adherence to these standards enables automation of key vulnerability management workflow steps, facilitates tool interoperability across the mission ecosystem, and produces outputs that are comparable across programs and organizations. Vulnerability scanning shall be performed against the approved as-built or deployed software baseline using methods that do not jeopardize mission operations. Active scanning of live spacecraft, safety-critical ground systems, or operational technology should occur only after the scanning method has been authorized and evaluated for operational impact. Where live scanning presents unacceptable risk, scanning should be performed against representative software images, firmware packages, or test environments that match the approved operational baseline. | CM-10(1) RA-3 RA-5 RA-5(11) RA-5(3) RA-7 SA-11 SA-11(3) SA-15(7) SA-3 SA-4(5) SA-8 SA-8(30) SI-3 SI-3(10) SI-7 | D3-AI D3-NM D3-AVE D3-NVA D3-PM D3-FBA D3-OSM D3-SFA D3-PA D3-PSA D3-PLA D3-PCSV D3-FA D3-DA D3-ID D3-HD D3-UA | 6.1.2 8.2 9.3.2 A.8.8 A.8.8 6.1.3 8.3 10.2 A.5.2 A.5.8 A.8.25 A.8.31 A.8.27 A.8.28 A.8.29 A.8.30 A.8.7 | |
| CM0072 | Protocol Update / Refactoring | Communication and data exchange protocols governing spacecraft, ground system, and inter-system interfaces may contain specification-level vulnerabilities that cannot be resolved through implementation hardening alone, requiring updates to or refactoring of the protocol itself to eliminate the underlying weakness. Protocol vulnerabilities may arise from design flaws in the original specification, from advances in adversarial capability that render previously adequate security assumptions insufficient, or from emerging threats such as quantum computing that threaten the cryptographic primitives upon which protocol security depends. Protocol update or refactoring encompasses the deliberate modification of the rules, formats, and procedures governing system communications to address known vulnerabilities, improve security properties, or maintain adequate protection against the evolving threat environment over the mission's operational lifetime. Because space system protocols are often tightly coupled to hardware interfaces, flight software implementations, and ground system processing pipelines, protocol changes carry significant integration risk and must be managed through rigorous engineering change processes; this complexity makes proactive protocol security assessment and planned update capability more cost-effective than reactive refactoring under operational urgency. | CM-3 CP-11 SI-2 | D3-NM D3-NVA D3-AI D3-AVE D3-SYSM D3-SYSVA D3-OAM D3-ORA D3-PMAD | 8.1 9.3.3 A.8.9 A.8.32 A.5.29 A.6.8 A.8.8 A.8.32 | |
| ID | Name | Description | |
|---|---|---|---|
| REC-0001 | Gather Spacecraft Design Information | Threat actors seek a coherent picture of the spacecraft and its supporting ecosystem to reduce uncertainty and plan follow-on actions. Useful design information spans avionics architecture, command and data handling, comms and RF chains, power and thermal control, flight dynamics constraints, payload-to-bus interfaces, redundancy schemes, and ground segment dependencies. Artifacts often include ICDs, block diagrams, SBOMs and toolchains, test procedures, AIT travelers, change logs, and “as-built” versus “as-flown” deltas. Adversaries combine open sources (papers, patents, theses, conference slides, procurement documents, FCC/ITU filings, marketing sheets) with gray sources (leaked RFP appendices, vendor manuals, employee resumes, social posts) to infer single points of failure, unsafe modes, or poorly defended pathways between space, ground, and supply chain. The output of this activity is not merely a document set but a working mental model and, often, a lab replica that enables rehearsal, timing studies, and failure-mode exploration. | |
| REC-0001.01 | Software Design | Adversaries target knowledge of flight and ground software to identify exploitable seams and to build high-fidelity emulators for rehearsal. Valuable details include RTOS selection and version, process layout, inter-process messaging patterns, memory maps and linker scripts, fault-detection/isolation/recovery logic, mode management and safing behavior, command handlers and table services, bootloaders, patch/update mechanisms, crypto libraries, device drivers, and test harnesses. Artifacts may be source code, binaries with symbols, stripped images with recognizable patterns, configuration tables, and SBOMs that reveal vulnerable dependencies. With these, a threat actor can reverse engineer command parsing, locate debug hooks, craft inputs that bypass FDIR, or time payload and bus interactions to produce cascading effects. Supply-chain access to vendors of COTS components, open-source communities, or integrators can be used to insert weaknesses or to harvest build metadata. Even partial disclosures, such as a unit test name, an assert message, or a legacy API, shrink the search space for exploitation. | |
| REC-0001.02 | Firmware | Firmware intelligence covers microcontroller images, programmable logic bitstreams, boot ROM behavior, peripheral configuration blobs, and anti-rollback or secure-boot settings for devices on the bus. Knowing device types, versions, and footprints enables inference of default passwords, debug interfaces (JTAG, SWD, UART), timing tolerances, and error handling under brownout or thermal stress. A threat actor may obtain firmware from vendor reference packages, public evaluation boards, leaked manufacturing files, over-the-air update images, or crash dumps. Correlating that with board layouts, harness drawings, or part markings helps map trust boundaries and locate choke points like power controllers, bus bridges, and watchdog supervisors. Attack goals include: preparing malicious but apparently valid updates, exploiting unsigned or weakly verified images, forcing downgrades, or manipulating configuration fuses to weaken later defenses. Even when cryptographic verification is present, knowledge of recovery modes, boot-pin strapping, or maintenance commands can offer alternate paths. | |
| REC-0001.03 | Cryptographic Algorithms | Adversaries look for the complete crypto picture: algorithms and modes, key types and lifecycles, authentication schemes, counter or time-tag handling, anti-replay windows, link-layer protections, and any differences between uplink and downlink policy. With algorithm and key details, a threat actor can craft valid telecommands, masquerade as a trusted endpoint, or degrade availability through replay and desynchronization. Sources include interface specifications, ground software logs, test vectors, configuration files, contractor laptops, and payload-specific ICDs that reuse bus-level credentials. Particular risk arises when command links rely on authentication without confidentiality; once an adversary acquires the necessary keys or counters, they can issue legitimate-looking commands outside official channels. Programs should assume that partial disclosures, MAC length, counter reset rules, or key rotation cadence, aid exploitation. | |
| REC-0001.04 | Data Bus | Bus intelligence focuses on which protocols are used (e.g., MIL-STD-1553, SpaceWire, etc.), controller roles, addressing, timings, arbitration, redundancy management, and the location of critical endpoints on each segment. Knowing the bus controller, remote terminal addresses, message identifiers, and schedule tables allows an adversary to craft frames that collide with or supersede legitimate traffic, to starve health monitoring, or to trigger latent behaviors in payload or power systems. Additional details such as line voltages, termination, connector types, harness pinouts, and EMC constraints inform feasibility of injection and disruption techniques. Attackers assemble this picture from ICDs, vendor datasheets, AIT procedures, harness drawings, lab photos, and academic or trade publications that reveal typical configurations. Enumeration of bridges and gateways is especially valuable because they concentrate trust across fault-containment regions and between payload and bus. | |
| REC-0001.05 | Thermal Control System | Adversaries seek a working map of the thermal architecture and its operating envelopes to anticipate stress points and plan timing for other techniques. Valuable details include passive elements (MLI, coatings, radiators, heat pipes/straps, louvers) and active control (survival and control heaters, thermostats, pumped loops), plus sensor placement, setpoints, deadbands, heater priority tables, and autonomy rules that protect critical hardware during eclipses and anomalies. Artifacts often come from thermal math models (TMMs), TVAC test reports, heater maps and harness drawings, command mnemonics, and on-orbit thermal balance procedures. When correlated with attitude constraints, payload duty cycles, and power budgets, this information lets a threat actor infer when components run close to limits, how safing responds to off-nominal gradients, and where power-thermal couplings can be exploited. Even small fragments, such as louver hysteresis or a heater override used for decontamination, can reveal opportunities to mask heating signatures or provoke nuisance safing. | |
| REC-0001.06 | Maneuver & Control | Threat actors collect details of the guidance, navigation, and control (GNC) stack to predict vehicle response and identify leverage points during station-keeping, momentum management, and anomaly recovery. Useful specifics include propulsion type and layout (monoprop/biprop/electric; thruster locations, minimum impulse bit, plume keep-out zones), reaction wheels/CMGs and desaturation logic, control laws and gains, estimator design (e.g., EKF), timing and synchronization, detumble/safe-mode behaviors, and the full sensor suite (star trackers, sun sensors, gyros/IMUs, GNSS). Artifacts include AOCS/AOCS ICDs, maneuver procedures, delta-v budgets, ephemeris products, scheduler tables, and wheel management timelines. Knowing when and how attitude holds, acquisition sequences, or wheel unloads occur helps an adversary choose windows where injected commands or bus perturbations have outsized effect, or where sensor blinding and spoofing are most disruptive. | |
| REC-0001.07 | Payload | Adversaries pursue a clear picture of payload type, operating modes, command set, and data paths to and from the bus and ground. High-value details include vendor and model, operating constraints (thermal, pointing, contamination), mode transition logic, timing of calibrations, safety inhibits and interlocks, firmware/software update paths, data formatting and compression, and any crypto posture differences between payload links and the main command link. Payload ICDs often reveal addresses, message identifiers, and gateway locations where payload traffic bridges to the C&DH or data-handling networks, creating potential pivot points. Knowledge of duty cycles and scheduler entries enables timing attacks that coincide with high-power or high-rate operations to stress power/thermal margins or saturate storage and downlink. Even partial information, calibration script names, test vectors, or engineering telemetry mnemonics, can shrink the search space for reverse engineering. | |
| REC-0001.08 | Power | Reconnaissance of the electrical power system (EPS) focuses on generation, storage, distribution, and autonomy. Useful details include solar array topology and SADA behavior, MPPT algorithms, array string voltages, eclipse depth assumptions, battery chemistry and configuration, BMS charge/discharge limits and thermal dependencies, PCDU architecture, load-shed priorities, latching current limiters, and survival power rules. Artifacts surface in EPS ICDs, acceptance test data, TVAC power margin reports, anomaly response procedures, and vendor manuals. Correlating these with attitude plans and payload schedules lets a threat actor infer when state-of-charge runs tight, which loads are shed first, and how fast recovery proceeds after a brownout or safing entry. Knowledge of housekeeping telemetry formats and rate caps helps identify blind spots where abusive load patterns or command sequences may evade detection. | |
| REC-0001.09 | Fault Management | Fault management (FDIR/autonomy/safing) materials are a prime reconnaissance target because they encode how the spacecraft detects, classifies, and responds to off-nominal states. Adversaries seek trigger thresholds and persistence timers, voting logic, inhibit and recovery ladders, safe-mode entry/exit criteria, command authority in safed states, watchdog/reset behavior, and any differences between flight and maintenance builds. Artifacts include fault trees, FMEAs, autonomy rule tables, safing flowcharts, and anomaly response playbooks. With these, a threat actor can craft inputs that remain just below detection thresholds, stack benign-looking events to cross safing boundaries at tactically chosen times, or exploit recovery windows when authentication, visibility, or redundancy is reduced. Knowledge of what telemetry is suppressed or rate-limited during safing further aids concealment. | |
| REC-0002 | Gather Spacecraft Descriptors | Threat actors compile a concise but highly actionable dossier of “who/what/where/when” attributes about the spacecraft and mission. Descriptors include identity elements (mission name, NORAD catalog number, COSPAR international designator, call signs), mission class and operator, country of registry, launch vehicle and date, orbit regime and typical ephemerides, and any publicly filed regulatory artifacts (e.g., ITU/FCC filings). They also harvest operational descriptors such as ground network affiliations, common pass windows by latitude band, and staffing patterns implied by press, social media, and schedules. Even when each item is benign, the aggregate picture enables precise timing (e.g., during beta-angle peaks, eclipse seasons, or planned maintenance), realistic social-engineering pretexts, and better targeting of ground or cloud resources that support the mission. | |
| REC-0002.01 | Identifiers | Adversaries enumerate and correlate all identifiers that uniquely tag the vehicle throughout its lifecycle and across systems. Examples include NORAD/Satellite Catalog numbers, COSPAR designators, mission acronyms, spacecraft serials and bus IDs, regulatory call signs, network addresses used by mission services, and any constellation slot or plane tags. These identifiers allow cross-reference across public catalogs, tracking services, regulatory filings, and operator materials, shrinking search spaces for pass prediction, link acquisition, and vendor ecosystem discovery. Seemingly minor clues, like a configuration filename embedding a serial number or an operator using the same short name across environments, can expose test assets or internal tools. Rideshare and hosted-payload contexts introduce additional ambiguity that an attacker can exploit to mask activity or misattribute traffic. | |
| REC-0002.02 | Organization | Threat actors map the human and institutional terrain surrounding the mission to find leverage for phishing, credential theft, invoice fraud, or supply-chain compromise. Targeted details include the owner/operator, prime and subcontractors (bus, payload, ground, launch), key facilities and labs, cloud/SaaS providers, organizational charts, distribution lists, and role/responsibility boundaries for operations, security, and engineering. The objective is to identify who can approve access, who can move money, who holds admin roles on ground and cloud systems, and which vendors maintain remote access for support. Understanding decision chains also reveals when changes control boards meet, when ops handovers occur, and where a single compromised account could bridge enclaves. | |
| REC-0002.03 | Operations | Adversaries collect high-level operational descriptors to predict when the mission will be busy, distracted, or temporarily less instrumented. Useful items include CONOPS overviews, daily/weekly activity rhythms, ground pass schedules, DSN or commercial network windows, calibration and maintenance timelines, planned wheel unloads or thruster burns, conjunction-assessment cycles, and anomaly response playbooks at the level of “who acts when.” For constellations, they seek plane/slot assignments, phasing and drift strategies, crosslink usage, and failover rules between vehicles. These descriptors enable time-targeted campaigns, e.g., sending malicious but syntactically valid commands near handovers, exploiting reduced telemetry during safing, or saturating links during high-rate downlinks. | |
| REC-0003 | Gather Spacecraft Communications Information | Threat actors assemble a detailed picture of the mission’s RF and networking posture across TT&C and payload links. Useful elements include frequency bands and allocations, emission designators, modulation/coding, data rates, polarization sense, Doppler profiles, timing and ranging schemes, link budgets, and expected Eb/N0 margins. They also seek antenna characteristics, beacon structures, and whether transponders are bent-pipe or regenerative. On the ground, they track station locations, apertures, auto-track behavior, front-end filters/LNAs, and handover rules, plus whether services traverse SLE, SDN, or commercial cloud backbones. Even small details, polarization sense, roll-off factors, or beacon cadence, shrink the search space for interception, spoofing, or denial. The outcome is a lab-replicable demod/decode chain and a calendar of advantageous windows. | |
| REC-0003.01 | Communications Equipment | Adversaries inventory space and ground RF equipment to infer capabilities, limits, and attack surfaces. On the spacecraft, they seek antenna type and geometry, placement and boresight constraints, polarization, RF front-end chains, transponder type, translation factors, gain control, saturation points, and protective features. On the ground, they collect dish size/aperture efficiency, feed/polarizer configuration, tracking modes, diversity sites, and backend modem settings. Beacon frequency/structure, telemetry signal type, symbol rates, and framing reveal demodulator parameters and help an actor build compatible SDR pipelines. Knowledge of power budgets and AGC behavior enables strategies to push hardware into non-linear regimes, causing self-inflicted denial or intermodulation. Equipment location and mounting inform visibility and interference opportunities. | |
| REC-0003.02 | Commanding Details | Threat actors study how commands are formed, authorized, scheduled, and delivered. High-value details include the telecommand protocol (e.g., CCSDS TC), framing and CRC/MAC fields, authentication scheme (keys, counters, anti-replay windows), command dictionary/database formats, critical-command interlocks and enable codes, rate and size limits, timetag handling, command queue semantics, and the roles of scripts or procedures that batch actions. They also collect rules governing “valid commanding periods”: line-of-sight windows, station handovers, maintenance modes, safing states, timeouts, and when rapid-response commanding is permitted. With this, an adversary can craft syntactically valid traffic, time injections to coincide with reduced monitoring, or induce desynchronization (e.g., counter resets, stale timetags). | |
| REC-0003.03 | Mission-Specific Channel Scanning | Beyond TT&C, many missions expose additional RF or network surfaces: high-rate payload downlinks (e.g., X/Ka-band), user terminals, inter-satellite crosslinks, and hosted-payload channels that may be operated by different organizations. Adversaries scan spectrum and public telemetry repositories for these mission-specific channels, characterizing carrier plans, burst structures, access schemes (TDMA/FDMA/CDMA), addressing, and gateway locations. For commercial services, they enumerate forward/return links, user terminal waveforms, and provisioning backends that could be impersonated or jammed selectively. In hosted-payload or rideshare contexts, differences in configuration control and key management present opportunities for pivoting between enclaves. | |
| REC-0003.04 | Valid Credentials | Adversaries seek any credential that would let them authenticate as a legitimate actor in space, ground, or supporting cloud networks. Targets include TT&C authentication keys and counters, link-encryption keys, PN codes or spreading sequences, modem and gateway accounts, mission control mission control user and service accounts, station control credentials, VPN and identity-provider tokens, SLE/CSP service credentials, maintenance backdoor accounts, and automation secrets embedded in scripts or CI/CD pipelines. Acquisition paths include spear-phishing, supply-chain compromise, credential reuse across dev/test/ops, logs and core dumps, misconfigured repositories, contractor laptops, and improperly sanitized training data. Because some missions authenticate uplink without encrypting it, possession of valid keys or counters may be sufficient to issue accepted commands from outside official channels. | |
| REC-0004 | Gather Launch Information | Adversaries collect structured launch intelligence to forecast when and how mission assets will transition through their most time-compressed, change-prone phase. Useful elements include the launch date/time windows, launch site and range operator, participating organizations (launch provider, integrator, range safety, telemetry networks), vehicle family and configuration, fairing type, and upper-stage restart profiles. This picture enables realistic social-engineering pretexts, supply-chain targeting of contractors, and identification of auxiliary systems (range instrumentation, TLM/FTS links) that may be less hardened than the spacecraft itself. Knowledge of ascent comms (bands, beacons, ground stations), early-orbit operations (LEOP) procedures, and handovers to mission control further informs when authentication, staffing, or telemetry margins may be tight. | |
| REC-0004.01 | Flight Termination | Threat actors may attempt to learn how the launch vehicle’s flight termination capability is architected and governed, command-destruct versus autonomous flight termination (AFTS), authority chains, cryptographic protections, arming interlocks, inhibit ladders, telemetry indicators, and range rules for safe-flight criteria. While FTS is a range safety function, its interfaces (command links, keys, timing sources, decision logic) can reveal design patterns, dependencies, and potential misconfigurations across the broader launch ecosystem. Knowledge of test modes, simulation harnesses, and pre-launch checks could inform social-engineering or availability-degrading actions against range or contractor systems during critical windows. | |
| REC-0005 | Eavesdropping | Adversaries seek to capture mission communications across terrestrial networks and RF/optical links to reconstruct protocols, extract telemetry, and derive operational rhythms. Collection is most often passive, but may be semi-passive or actively elicited, where the adversary transmits probes or crafted exchanges to provoke identifiable responses from the target rather than waiting to observe them. On networks, packet captures, logs, and flow data from ground stations, mission control, and cloud backends can expose service boundaries, authentication patterns, and automation. In the RF domain, wideband recordings, spectrograms, and demodulation of TT&C and payload links, spanning VHF/UHF through S/L/X/Ka and, increasingly, optical, enable identification of modulation/coding, framing, and beacon structures. Even when links are encrypted, metadata such as carrier plans, symbol rates, polarization, and cadence can support traffic analysis, timing attacks, or selective interference. Community capture networks and open repositories amplify the reach of a modest adversary. | |
| REC-0005.01 | Uplink Intercept Eavesdropping | Uplink reconnaissance focuses on capturing the command path from ground to spacecraft to learn telecommand framing, authentication fields, timing, and anti-replay behavior. Valuable artifacts include emission designators, symbol rates, polarization sense, Doppler profiles, and any preambles or ranging tones that gate command acceptance. Even if payload and TT&C share spectrum, their authentication postures often differ, knowledge an adversary can exploit. Partial captures, console screenshots, or training recordings reduce the effort needed to build an SDR pipeline that “looks right” on the air. Where missions authenticate without encrypting the uplink, traffic analysis can reveal command cadence and maintenance windows. | |
| REC-0005.02 | Downlink Intercept | Downlink collection aims to harvest housekeeping telemetry, event logs, ephemerides, payload data, and operator annotations that reveal system state and procedures. Even when payload content is encrypted, ancillary channels (beacons, health/status, low-rate engineering downlink) can disclose mode transitions, battery and thermal margins, safing events, and next-pass predictions. Community ground networks and public dashboards may inadvertently provide stitched datasets that make trend analysis trivial. Captured framing and coding parameters also help an adversary build testbeds and refine timing for later actions. | |
| REC-0005.03 | Proximity Operations | In proximity scenarios, an adversary platform (or co-located payload) attempts to observe emissions and intra-vehicle traffic at close range, RF side-channels, optical/lasercom leakage, and, in extreme cases, electromagnetic emanations consistent with TEMPEST/EMSEC concerns. Physical proximity can expose harmonics, intermodulation products, local oscillators, and bus activity that are undetectable from the ground, enabling reconstruction of timing, command acceptance windows, or even limited protocol content. In hosted-payload or rideshare contexts, a poorly segregated data path may permit passive observation of TT&C gateways, crosslinks, or payload buses. | |
| REC-0006 | Gather FSW Development Information | Adversaries collect a cradle-to-operations view of how flight software is built, tested, signed, and released. Useful artifacts include architecture docs, source trees and SBOMs, compiler/linker toolchains and flags, RTOS and middleware versions, build scripts, CI/CD pipelines, code-signing workflows, defect trackers, and release notes that describe “as-built” vs. “as-flown” deltas. They also seek integration environments, emulators/SIL, flatsats/iron birds, hardware-in-the-loop rigs, and the autonomy/FDIR logic that governs mode transitions and patch acceptance. With this knowledge, a threat actor can identify weak crypto or provenance controls on update paths, predict error-handling behavior, and craft inputs that slip past unit/integration tests. Even small disclosures (e.g., a linker script, an assert string, or a sanitized crash dump) shrink the search space for exploitation. | |
| REC-0006.01 | Development Environment | Threat actors enumerate the exact environment used to produce flight builds: IDEs and plugins, cross-compilers and SDKs, container images/VMs, environment variables, path conventions, build systems, static libraries, and private package registries. They correlate repository layouts (mono- vs multi-repo), branch and review policies, protected branches/tags, and CI orchestrators to find where policy gaps allow unreviewed code or tool updates. Secrets embedded in configs (tokens, service accounts), permissive compiler/linker flags, or disabled hardening options are especially valuable. Knowledge of debug/diagnostic builds, symbol servers, and crash-dump handling lets an adversary reconstruct higher-fidelity testbeds or derive function boundaries in stripped images. | |
| REC-0006.02 | Security Testing Tools | Adversaries study how you test to learn what you don’t test. They inventory static analyzers and coding standards (MISRA/C, CERT, CWE rulesets), dynamic tools (address/UB sanitizers, valgrind-class tools), fuzzers targeted at command parsers and protocols (e.g., CCSDS TC/TM, payload formats), property-based tests, mutation testing, coverage thresholds, and formal methods applied to mode logic or crypto. They also examine HIL setups, fault-injection frameworks, timing/jitter tests, and regression suites that gate release. Gaps, such as minimal negative testing on rare modes, weak corpus diversity, or untested rate/size limits, inform exploit design and the timing of inputs to evade FDIR or saturate queues. | |
| REC-0007 | Monitor for Safe-Mode Indicators | Adversaries watch for telltale signs that the spacecraft has entered a safed or survival configuration, typically sun-pointing or torque-limited attitude, reduced payload activity, conservative power/thermal setpoints, and low-rate engineering downlink. Indicators include specific mode bits or beacon fields, changes in modulation/coding and cadence, distinctive event packets (e.g., wheel unload aborts, brownout recovery), elevated heater duty, altered load-shed states, and operator behaviors such as emergency DSN requests, longer ground passes, or public anomaly notices. This reconnaissance helps time later actions to coincide with periods of reduced bandwidth, altered monitoring, or maintenance command availability. It may also reveal how safing affects authentication (e.g., whether rapid-response paths or recovery consoles differ from nominal). | |
| REC-0008 | Gather Supply Chain Information | Threat actors map the end-to-end pathway by which hardware, software, data, and people move from design through AIT, launch, and on-orbit sustainment. They catalog manufacturers and lots, test and calibration houses, logistics routes and waypoints, integrator touchpoints, key certificates and tooling, update and key-loading procedures, and who holds custody at each handoff. They correlate this with procurement artifacts, SBOMs, BOMs, and service contracts to locate where trust is assumed rather than verified. Particular attention falls on exceptions, engineering builds, rework tickets, advance replacements, depot repairs, and urgent field updates, because controls are frequently relaxed there. The result is a prioritized list of choke points (board fabrication, FPGA bitstream signing, image repositories, CI/CD runners, cloud artifact stores, freight forwarders) where compromise yields outsized effect. | |
| REC-0008.01 | Hardware Recon | Adversaries seek insight into component sources, screening levels, test histories, and configuration states to prepare pre-delivery manipulation of boards and modules. High-value details include ASIC/FPGA part numbers and stepping, security fuses and life-cycle states, JTAG/SWD access policies, secure-boot and anti-rollback configuration, golden bitstream handling, board layouts and test points, conformal coat practices, and acceptance test procedures with allowable tolerances. Knowledge of substitute/alternate parts, counterfeit screening thresholds, and waiver histories reveals where counterfeit insertion or parametric “near-miss” parts might evade detection. For programmable logic, attackers target synthesis/place-and-route toolchains, IP core versions, and bitstream encryption keys to enable hardware Trojans or debug backdoors that survive functional test. Logistics artifacts (packing lists, RMA workflows, depot addresses) expose moments when custody is thin and tamper opportunities expand. | |
| REC-0008.02 | Software Recon | Threat actors enumerate the software factory: where source lives, how dependencies are pulled, how artifacts are built, signed, stored, and promoted to flight. They inventory repos and access models, CI/CD orchestrators, build containers and base images, package registries, signing services/HSMs, update channels, and the policies that gate promotion (tests, reviews, attestations). With this, an adversary can plan dependency confusion or typosquatting attacks, modify build scripts, poison cached artifacts, or swap binaries at distribution edges (mirrors, CDN, ground station staging). | |
| REC-0008.04 | Business Relationships | Threat actors map contractual and operational relationships to identify the weakest well-connected node. They enumerate primes and subs (bus, payload, ground, launch), managed service providers, ground-network operators, cloud/SaaS tenants, testing and calibration labs, logistics and customs brokers, and warranty/repair depots, plus who holds remote access, who moves money, and who approves changes. Public artifacts (press releases, procurement records, org charts, job postings, conference bios) and technical traces (email MX/DMARC, shared SSO/IdP providers, cross-domain service accounts) reveal trust bridges between enclaves. Shipment paths and integration schedules expose when and where hardware and sensitive data concentrate. Understanding these ties enables tailored phishing, invoice fraud, credential reuse, and supply-chain insertion timed to integration milestones. | |
| REC-0009 | Gather Mission Information | Adversaries compile a CONOPS-level portrait of the mission to predict priorities, constraints, and operational rhythms. They harvest stated needs, goals, and performance measures; enumerate key elements/instruments and their duty cycles; and extract mode logic, operational constraints (pointing, keep-outs, contamination, thermal/power margins), and contingency concepts. They mine the scientific and engineering basis, papers, algorithms, calibration methods, to anticipate data value, processing chains, and where integrity or availability attacks would have maximal effect. They correlate physical and support environments (ground networks, cloud pipelines, data distribution partners, user communities) and public schedules (campaigns, calibrations, maneuvers) to identify periods of elevated workload or reduced margin. The aim is not merely understanding but timing: choosing moments when authentication might be relaxed, monitoring is saturated, or rapid-response authority is invoked. | |
| RD-0001 | Acquire Infrastructure | Adversaries assemble the people, platforms, and plumbing they will later use to observe, reach, or impersonate mission components. Infrastructure spans RF and optical ground assets (antennas, modems, timing sources, front-ends), compute and storage (on-prem and cloud), network presence (leased ASNs/IP space, VPS fleets, CDN relays), identity fabric (burner accounts, domains, certificates), and fabrication/test environments for hardware and software. They favor assets that are inexpensive, deniable, and geographically diverse, mixing self-hosted gear with commercial services and compromised third-party systems. To support spacecraft operations, they may build SDR-based labs that replicate waveforms and framing, stage command/telemetry tooling behind traffic mixers, and pre-position data pipelines for collection and analysis. The objective is persistence and flexibility: the ability to pivot between reconnaissance, delivery, and command with minimal attribution risk. | |
| RD-0001.01 | Ground Station Equipment | Rather than compromising existing stations, adversaries may acquire or assemble their own RF ground stack. Typical building blocks include: steerable mounts with auto-track, time/frequency standards, band-appropriate antennas and feeds, LNAs and filters at the feed, low-loss IF chains, T/R switching, medium/high-power amplifiers with protection and telemetry, and weather protection. Baseband equipment often mixes SDRs with commercial modems to generate/capture mission waveforms and framing; signal generators and spectrum analyzers support calibration and banner-grabbing. On the digital side, ground data processors translate captured frames to packetized formats for analysis and rehearsal. With this kit, an actor can passively collect, actively probe, or attempt spoofing if link-layer authentication is weak. | |
| RD-0001.02 | Commercial Ground Station Services | Instead of building dishes, adversaries may rent time on commercial ground networks or cloud-integrated “ground-station-as-a-service.” Access can be obtained legitimately (front companies, weak vetting) or via compromised customer accounts, allowing schedule requests, RF front-end configuration, and data egress through reputable providers. The appeal is speed, global reach, and plausible deniability; the risk to defenders is that traffic originates from expected stations and IP ranges. Misuse may include reconnaissance (passive capture), selective denial (misconfiguration or saturation attempts), or, where authentication is weak, unauthorized commanding. | |
| RD-0001.03 | Spacecraft | A well-resourced actor may field their own spacecraft or hosted payload to gain proximity, visibility, or RF leverage. Small satellites can be launched into nearby planes or phasing orbits to observe emissions, perform spectrum measurements, or test spoofing and denial techniques at short range. Hosted payloads on commercial buses provide co-location without full spacecraft development. Proximity also enables on-orbit relay, crosslink probing, or attempts to exploit weak segmentation between payload and bus on rideshares. Regulatory and tracking regimes complicate overt misuse, but shell companies, benign-seeming mission declarations, or flags of convenience can mask intent. | |
| RD-0001.04 | Launch Facility | In practice, adversaries are far more likely to purchase launch services (rideshare slots, hosted-payload opportunities) than to “acquire a launch facility.” Nevertheless, understanding and exploiting launch infrastructure, pads, integration cells, range networks, and control centers, could support resource development (e.g., positioning an asset, staging equipment near range telemetry). The realistic objective is influence over access to orbit, schedule, or integration touchpoints rather than ownership of a pad. Shell entities might book benign-sounding rides, insert dual-use payloads, or seek special handling that relaxes controls. | |
| RD-0002 | Compromise Infrastructure | Rather than purchasing or renting assets, adversaries compromise existing infrastructure, mission-owned, third-party, or shared, to obtain ready-made reach into space, ground, or cloud environments with the benefit of plausible attribution. Targets range from physical RF chains and timing sources to mission control servers, automation/scheduling systems, SLE/CSP gateways, identity providers, and cloud data paths. Initial access often comes via stolen credentials, spear-phishing of operators and vendors, exposed remote-support paths, misconfigured multi-tenant platforms, or lateral movement from enterprise IT into operations enclaves. Once resident, actors can pre-position tools, modify configurations, suppress logging, and impersonate legitimate stations or operators to support later Execution, Exfiltration, or Denial. | |
| RD-0002.03 | 3rd-Party Spacecraft | By compromising another operator’s spacecraft, or a hosted payload, an adversary can gain proximity, sensing, and relay capabilities that are costly to build from scratch and difficult to attribute. With control of an on-orbit asset, the actor may conduct local spectrum measurement and traffic analysis, attempt selective interference or spoofing at short range, or probe crosslinks and gateways where payload networks bridge to buses. In rideshare or hosted-payload contexts, weak segmentation and shared ground paths can provide insight into neighboring missions. More aggressive scenarios include remote proximity operations (RPO) to achieve advantageous geometry; however, physical grappling, docking, or exposure of debug/test interfaces is highly specialized and rare, with significant safety, legal, and tracking implications. Realistic attacker goals emphasize adjacency for RF leverage, covert relay, or data theft rather than mechanical capture. | |
| RD-0003 | Obtain Cyber Capabilities | Adversaries acquire ready-made tools, code, and knowledge so they can move faster and with lower attribution when operations begin. Capabilities span commodity malware and loaders, bespoke implants for mission control mission control and ground enclaves, privilege-escalation and lateral-movement kits, SDR/codec stacks for TT&C and payload links, fuzzers and protocol harnesses, exploit chains for RTOS/middleware and ground services, and databases of configuration playbooks from prior intrusions. Actors prefer modular kits that can be re-skinned (new C2, new certs) and exercised in flatsat or SIL/HIL labs before use. They also collect operational “how-tos”, procedures, scripts, and operator macros, that convert technical access into mission effects. | |
| RD-0003.01 | Exploit/Payload | Threat actors obtain or adapt exploits (the trigger) and payloads (the action after exploitation) for space, ground, and cloud components. Targets include flight software parsers and table loaders, bootloaders and patch/update handlers, bus gateways, payload controllers, and ground services. Payloads may be binaries, scripts, or command/procedure sequences that alter modes, bypass FDIR, or stage follow-on access; they can also be “data payloads” that exploit weak validation (malformed tables, ephemeris, or calibration products). Acquisition paths mirror the broader market, brokered N-day/0-day packages, open-source exploits re-tooled for mission stacks, and theft from vendors or researchers. Actors tune timing, size/rate limits, and anti-replay nuances so delivery fits pass windows and link budgets, and they rehearse on flatsats to achieve deterministic outcomes. | |
| RD-0003.02 | Cryptographic Keys | Adversaries seek any cryptographic material that confers command or decryption authority: uplink authentication/MAC keys and counters, link-encryption/session keys and KEKs, loading/transfer keys for HSMs, PN/spreading codes, modem credentials, and station or crosslink keys. Acquisition routes include compromised ground systems and laptops, misconfigured repositories and ticket systems, memory/core dumps, training datasets and screenshots, contractor support channels, and poorly controlled key-loading or recovery procedures. Because some missions authenticate uplink without encrypting it, possession of the right keys/counters may be sufficient to inject accepted commands outside official channels or to desynchronize anti-replay. | |
| RD-0004 | Stage Capabilities | Before execution, adversaries prepare the ground, literally and figuratively. They upload tooling, exploits, procedures, and datasets to infrastructure they own or have compromised, wire up C2 and telemetry pipelines, and pre-configure RF/baseband chains and protocol stacks to match mission parameters. Staging often uses cloud object stores, VPS fleets, or CI/CD runners masquerading as benign automation; artifacts are containerized or signed with hijacked material to blend in. For RF operations, actors assemble demod/encode flowgraphs, precompute CRC/MAC fields and timetags, and script rate/size pacing to fit pass windows. For ground/cloud, they stage credentials, macros, and schedule templates that can push changes or exfiltrate data quickly during handovers or safing. Dry-runs on flatsats/HIL rigs validate timing and error paths; OPSEC measures (rotating domains, domain fronting, traffic mixers) reduce attribution. | |
| RD-0004.01 | Identify/Select Delivery Mechanism | Adversaries select the pathway that best balances effect, risk, bandwidth, and attribution. Options include over-the-air telecommand injection on TT&C links, manipulation of payload downlinks or user terminals, abuse of crosslinks or gateways, pivoting through commercial ground networks, or pushing malicious updates via supply-chain paths (software, firmware, bitstreams). Selection considers modulation/coding, Doppler and polarization, anti-replay windows, pass geometry, rate/size limits, and expected operator workload (handover, LEOP, safing exits). For ground/cloud paths, actors account for identity boundaries, automation hooks, and change-control cadence. The “delivery mechanism” is end-to-end: RF front-end (antenna, converters, HPAs), baseband/SDR chain, protocol/framing, authentication/counter handling, scheduling, and fallbacks if detection occurs. Rehearsal artifacts, test vectors, mock dictionaries, ephemerides, are built alongside. | |
| RD-0004.02 | Upload Exploit/Payload | Having chosen a path, adversaries pre-position the specific packages and procedures they intend to use: binary exploits, malicious tables and ephemerides, patch images, modem profiles, and operator macros that chain actions. On compromised or leased infrastructure, they stage these items where execution will be fastest, provider portals, scheduler queues, ground station file drops, or automation repos, with triggers tied to pass start, beacon acquisition, or operator shift changes. Artifacts are formatted to mission protocols (framing, CRC/MAC, timetags), chunked to meet rate/size constraints, and signed or wrapped to evade superficial checks. Anti-forensics (timestamp tampering, log suppression, ephemeral storage) reduce audit visibility, while fallback payloads are kept for alternate modes (safe-mode dictionaries, recovery consoles). | |
| RD-0005 | Obtain Non-Cyber Capabilities | Adversaries may pursue non-cyber counterspace means to create access, leverage, or effects that complement cyber operations. These capabilities span kinetic physical (e.g., direct-ascent or co-orbital interceptors and attacks on ground segments), non-kinetic physical (e.g., lasers, high-power microwave/EMP), and electronic warfare (jamming and spoofing). Each class differs in required resources, detectability, attribution, and the permanence of effects, from reversible interference to irreversible destruction. A pragmatic actor mixes methods: electronic attack to mask or distract, directed energy to blind sensors or upset electronics, and, at the top end, kinetic capabilities to hold assets at risk. Resource development may involve acquisition, partnering, or covert access to such systems; rehearsals are often framed as testing or calibration. | |
| RD-0005.01 | Launch Services | Rather than “owning a pad,” a realistic path is purchasing launch services (rideshare, hosted payload) to place inspection or relay assets where they confer RF, optical, or proximity advantage. Launch providers deliver integration, testing, and scheduling; an actor can use benign mission covers to field small satellites that measure local spectrum, perform on-orbit characterization of target emissions, or support later rendezvous and proximity operations. The resource being developed is access to vantage points, not just spaceflight hardware. | |
| RD-0005.02 | Non-Kinetic Physical ASAT | Non-kinetic physical ASATs damage or degrade without contact, typically via directed energy or intense electromagnetic effects. Ground- or space-based lasers can dazzle or blind optical sensors; high-power microwave or related electromagnetic systems can disrupt or permanently damage susceptible electronics; some concepts aim to generate broader electromagnetic effects. These attacks propagate at light speed, can be tuned for reversible or lasting impact, and may leave limited forensic residue, complicating verification and attribution. Actors who obtain or partner for such systems can pair them with cyber operations (e.g., blind a star tracker while injecting misleading commands) to amplify effect. | |
| RD-0005.03 | Kinetic Physical ASAT | Kinetic capabilities physically strike space or ground elements. In space, direct-ascent systems launch from Earth to intercept a satellite on orbit; co-orbital systems maneuver in space to approach and impact a target. On the ground, kinetic attacks can target stations or support infrastructure. These actions are generally easier to detect and attribute and often produce persistent, hazardous debris in orbit, especially at higher altitudes, making them strategically escalatory. Actors developing or accessing such capabilities gain credible coercive power but at significant political and operational cost. | |
| RD-0005.04 | Electronic ASAT | Electronic ASAT attacks target the communications lifelines of space systems rather than their structures: jamming raises the noise floor to deny service; spoofing crafts believable but false signals (navigation, timing, or control). These effects are usually transient and can be difficult to attribute quickly, yet they are operationally useful and comparatively inexpensive. Actors may obtain portable or fixed jammers, high-gain antennas with agile waveforms, and specialized signal-processing toolchains; from orbit, a nearby asset can deliver highly selective interference. | |
| IA-0001 | Compromise Supply Chain | Adversaries achieve first execution before the spacecraft ever flies by inserting malicious code, data, or configuration during manufacturing, integration, or delivery. Targets include software sources and dependencies, build systems and compilers, firmware/bitstreams for MCUs and FPGAs, configuration tables, test vectors, and off-the-shelf avionics. Inserted artifacts are designed to appear legitimate, propagate through normal processes, and activate under routine procedures or specific modes (e.g., safing, maintenance). Common insertion points align with where trust is assumed, vendor updates, mirrors and registries, CI/CD runners, programming stations, and “golden image” repositories. The result is pre-positioned access that blends with baseline behavior, often with delayed or conditional triggers and strong deniability. | |
| IA-0001.01 | Software Dependencies & Development Tools | This technique targets what developers import and the tools that transform source into flight binaries. Methods include dependency confusion and typosquatting, poisoned container/base images, malicious IDE plugins, and compromised compilers, linkers, or build runners that subtly alter output. Because flight and ground stacks frequently reuse open-source RTOS components, crypto libraries, protocol parsers, and build scripts, an upstream change can deterministically reproduce a backdoor downstream. Attackers also seed private mirrors or caches so “trust-on-first-use” locks in tainted packages, or abuse CI secrets and environment variables to pivot further. Effects range from inserting covert handlers into command parsers, to weakening integrity checks in update paths, to embedding telemetry beacons that exfiltrate build metadata helpful for later stages. | |
| IA-0001.02 | Software Supply Chain | Here the manipulation targets software delivered to flight or ground systems: altering source before build, swapping signed binaries at distribution edges, subverting update metadata, or using stolen signing keys to issue malicious patches. Space-specific vectors include mission control applications, schedulers, gateway services, flight tables and configuration packages, and firmware loads during I&T or LEOP. Adversaries craft payloads that pass superficial validation, trigger under particular operating modes, or reintroduce known weaknesses through version rollback. “Data payloads” such as malformed tables, ephemerides, or calibration products can double as exploits when parsers are permissive. The objective is to ride the normal promotion pipeline so the implant arrives pre-trusted and executes as part of routine operations. | |
| IA-0001.03 | Hardware Supply Chain | Adversaries alter boards, modules, or programmable logic prior to delivery to create latent access or reliability sabotage. Tactics include inserting hardware Trojans in ASIC/FPGA designs, modifying bitstreams or disabling security fuses, leaving debug interfaces (JTAG/SWD/UART) active, substituting near-spec counterfeits, or embedding parts that fail after specific environmental or temporal conditions (“time-bomb” components). Other avenues target programming stations and “golden” images so entire lots inherit the same weakness. Microcontroller boot configurations, peripheral EEPROMs, and supervisory controllers are common leverage points because small changes there can reshape trust boundaries across the bus. The effect is a platform that behaves nominally through acceptance test yet enables covert control, targeted degradation, or delayed failure once on orbit. | |
| IA-0002 | Compromise Software Defined Radio | Adversaries target SDR-based transceivers and payload radios because reconfigurable waveforms, FPGA bitstreams, and software flowgraphs create programmable footholds. Manipulation can occur in the radio’s development pipeline (toolchains, out-of-tree modules), at integration (loading of bitstreams, DSP coefficients, calibration tables), or in service via update channels that deliver new waveforms or patches. On-orbit SDRs often expose control planes (command sets for mode/load/select), data planes (baseband I/Q), and management/telemetry paths, any of which can embed covert behavior, alternate demod paths, or hidden subcarriers. A compromised SDR can establish clandestine command-and-control by activating non-public waveforms, piggybacking on idle fields, or toggling to time/ephemeris-triggered profiles that blend with nominal operations. On the ground, compromised SDR modems can be used to fabricate mission-compatible emissions or to decode protected downlinks for reconnaissance. Attackers leverage the SDR’s malleability so that malicious signaling, once seeded, presents as a legitimate but rarely exercised configuration. | |
| IA-0004 | Secondary/Backup Communication Channel | Adversaries pursue alternative paths to the spacecraft that differ from the primary TT&C in configuration, monitoring, or authentication. Examples include backup MOC/ground networks, contingency TT&C chains, maintenance or recovery consoles, low-rate emergency beacons, and secondary receivers or antennas on the vehicle. These channels exist to preserve commandability during outages, safing, or maintenance; they may use different vendors, legacy settings, or simplified procedures. Initial access typically pairs reconnaissance of failover rules with actions that steer operations onto the backup path, natural events, induced denial on the primary, or simple patience until scheduled tests and handovers occur. Once traffic flows over the alternate path, the attacker leverages its distinct procedures, dictionaries, or rate/size limits to introduce commands or data that would be harder to inject on the primary. | |
| IA-0004.02 | Receiver | Threat actors may target the spacecraft’s secondary (backup) RF receive path, often a differently sourced radio, alternate antenna/feed, or cross-strapped front end that is powered or enabled under specific modes. Threat actors map when the backup comes into play (safing, antenna obscuration, maintenance, link degradation) and what command dictionaries, framing, or authentication it expects. If the backup receiver has distinct waveforms, counters, or vendor defaults, the attacker can inject traffic that is accepted only when that path is active, limiting exposure during nominal ops. Forcing conditions that enable the backup, jamming the primary, exploiting geometry, or waiting for routine tests, creates the window for first execution. The result is a foothold gained through a rarely used RF path, exploiting differences in implementation and operational cadence between primary and standby receive chains. | |
| IA-0007 | Compromise Ground System | Compromising the ground segment gives an adversary the most direct path to first execution against a spacecraft. Ground systems encompass operator workstations and mission control mission control software, scheduling/orchestration services, front-end processors and modems, antenna control, key-loading tools and HSMs, data gateways (SLE/CSP), identity providers, and cloud-hosted mission services. Once inside, a threat actor can prepare on-orbit updates, craft and queue valid telecommands, replay captured traffic within acceptance windows, or manipulate authentication material and counters to pass checks. The same foothold enables deep reconnaissance: enumerating mission networks and enclaves, discovering which satellites are operated from a site, mapping logical topology between MOC and stations, identifying in-band “birds” reachable from a given aperture, and learning pass plans, dictionaries, and automation hooks. From there, initial access to the spacecraft is a matter of timing and presentation, injecting commands, procedures, or update packages that align with expected operations so the first execution event appears indistinguishable from normal activity. | |
| IA-0007.01 | Compromise On-Orbit Update | Adversaries may target the pipeline that produces and transmits updates to an on-orbit vehicle. Manipulation points include source repositories and configuration tables, build and packaging steps that generate images or differential patches, staging areas on ground servers, update metadata (versions, counters, manifests), and the transmission process itself. Spacecraft updates span flight software patches, FPGA bitstreams, bootloader or device firmware loads, and operational data products such as command tables, ephemerides, and calibration files, each with distinct formats, framing, and acceptance rules. An attacker positioned in the ground system can substitute or modify an artifact, alter its timing and timetags to match pass windows, and queue it through the same procedures operators use for nominal maintenance. Activation can be immediate or deferred: implants may lie dormant until a specific mode, safing entry, or table index is referenced. | |
| IA-0008 | Rogue External Entity | Adversaries obtain a foothold by interacting with the spacecraft from platforms outside the authorized ground architecture. A “rogue external entity” is any actor-controlled transmitter, platform, or node, ground, maritime, airborne, or space-based. Most interact by radiating or exchanging traffic using mission-compatible waveforms, framing, or crosslink protocols. Others carry no mission-compatible capability at all, and instead apply interference, directed energy, or physical proximity to shape the conditions under which access becomes possible. The technique exploits the fact that many vehicles must remain commandable and discoverable over wide areas and across multiple modalities. Using public ephemerides, pass predictions, and knowledge of acquisition procedures, the actor times transmissions to line-of-sight windows, handovers, or maintenance periods. Initial access stems from presenting traffic that the spacecraft will parse or prioritize, such as syntactically valid telecommands, crafted ranging/acquisition exchanges, crosslink service advertisements, or payload/user-channel messages that bridge into the command/data path, or, for entities operating by effect rather than by protocol, from the contingency behavior those effects induce. | |
| IA-0008.03 | ASAT/Counterspace Weapon | Adversaries leverage counterspace platforms to create conditions under which initial execution becomes possible or to impose effects directly. Electronic warfare systems can jam or spoof links so that the target shifts to contingency channels or accepts crafted navigation/control signals; directed-energy systems can dazzle sensors or upset electronics, shaping mode transitions and autonomy responses; kinetic or contact-capable systems can enable mechanical interaction that exposes maintenance or debug paths. In each case, the counterspace asset is an external actor-controlled node that interacts with the spacecraft outside authorized ground pathways. Initial access may be the immediate result of accepted spoofed traffic, or it may be secondary, arising when the target enters states with broader command acceptance, alternative receivers, or service interfaces that the adversary can then exploit. | |
| IA-0011 | Auxiliary Device Compromise | Adversaries abuse peripherals and removable media that the spacecraft (or its support equipment) ingests during development, I&T, or on-orbit operations. Small satellites and hosted payloads frequently expose standard interfaces, USB, UART, Ethernet, SpaceWire, CAN, or mount removable storage for loading ephemerides, tables, configuration bundles, or firmware. A tainted device can masquerade as a trusted class (mass-storage, CDC/HID) or present crafted files that trigger auto-ingest workflows, file watchers, or maintenance utilities. Malware may be staged by modifying the peripheral’s firmware, seeding the images written by lab formatting tools, or swapping media during handling. Once connected, the device can deliver binaries, scripts, or malformed data products that execute under existing procedures. Because these interactions often occur during hurried timelines (checkouts, rehearsals, contingency maintenance), the initial execution blends with legitimate peripheral use while traversing a path already privileged to reach flight software or controllers. | |
| EX-0009 | Exploit Code Flaws | The adversary executes actions on-board by abusing defects in software that runs on the vehicle, ranging from application logic in flight software to libraries, drivers, and supporting services. Outcomes range from arbitrary code execution and privilege escalation to silent logic manipulation (e.g., bypassing interlocks, suppressing alarms) that appears operationally plausible. The hallmark of this technique is that the attacker co-opts existing code paths, often rarely used ones, to run unintended behavior under nominal interfaces. These attacks may be extremely targeted and tailored to specific coding errors introduced as a result of poor coding practices or they may target known issues in the commercial software components. | |
| EX-0009.01 | Flight Software | Flight software presents rich attack surface where mission-specific parsing and autonomy live. Vulnerable components include command and telemetry handlers, table loaders, file transfer services, mode management and safing logic, payload control applications, and gateway processes that bridge payload and bus protocols. Typical flaws are unchecked lengths and indices in command fields, arithmetic overflows in rate/size calculations, insufficient validation of table contents, format-string misuse in logging, incomplete state cleanup across rapid mode changes, and race conditions in concurrent message processing. Some FSW suites expose operator-facing APIs or scripting/procedure engines used for automation; malformed invocations can coerce unexpected behaviors or enable arbitrary expressions. Because many subsystems act on “last write wins,” logic errors can yield durable configuration changes without obvious anomalies in protocol syntax. Successful exploitation lets an adversary execute code, alter persistent parameters, or chain effects across partitions that would otherwise be segmented by design. | |
| EX-0009.02 | Operating System | At the OS layer, the attacker targets primitives that schedule work and mediate hardware. Modern spacecraft, particularly small satellites, increasingly rely on Linux-based operating systems (e.g., Yocto-derived distributions) rather than traditional RTOSes, significantly expanding the applicable attack surface to include techniques documented in MITRE ATT&CK for Linux - <a href='https://attack.mitre.org/matrices/enterprise/linux/' class='internal-link' target='_blank'>https://attack.mitre.org/matrices/enterprise/linux/</a>. Maintenance builds may expose shells or management consoles; misconfigurations around these interfaces can provide paths to command interpreters or privileged syscalls. Linux-based flight systems inherit standard Unix/Linux vulnerabilities including kernel exploits, container escapes, privilege escalation via misconfigured sudo/capabilities, and exploitation of systemd or other init systems. Exploitation yields kernel-mode execution, arbitrary memory read/write, or control of scheduling and address spaces, letting the actor tamper with FSW processes, intercept command paths, or manipulate storage and bus drivers beneath application checks. Common Linux-specific vectors include exploiting unpatched kernel vulnerabilities, abusing misconfigurations in containerized environments, leveraging POSIX API weaknesses in flight applications, and targeting shared libraries or dynamic linkers to inject malicious code into flight processes. The technique leverages generic OS weaknesses adapted to the spacecraft's particular build, turning low-level control into mission-facing effects that appear to originate from legitimate processes. Because spacecraft Linux builds are often minimized, long-lived (limited patching), and may retain debug interfaces or permissive file permissions from ground testing, they present a unique risk profile combining embedded-system constraints with commodity OS attack techniques. Flight images frequently retain extraneous binaries and utilities (e.g., compilers, debuggers, network tools, package managers) intended for ground testing or development that are not removed before launch, providing adversaries with ready-made 'living off the land' capabilities for reconnaissance, lateral movement, and privilege escalation without needing to upload custom tooling. | |
| EX-0009.03 | Known Vulnerability (COTS/FOSS) | Using knowledge of the software composition on-board, the adversary maps components and versions to publicly or privately known defects and then crafts inputs to trigger them. Typical targets include standard libraries (libc, STL), cryptographic and compression libraries, protocol stacks (CCSDS implementations, IP over space links, SpaceWire bridges), filesystems and parsers (FITS/CCSDS packetization, custom table formats), and vendor SDKs for radios, sensors, or payloads. Triggers arrive as well-formed but malicious packets, frames, or files whose edge-case fields exercise version-specific bugs, overflowing a parser, bypassing an authentication check, or causing a kernel/driver fault that reboots into a more permissive mode. Because these flaws are documented somewhere, exploitation emphasizes matching the exact build and build-time options used on the mission. | |
| EX-0010 | Malicious Code | The adversary achieves on-board effects by introducing executable logic that runs on the vehicle, either native binaries and scripts, injected shellcode, or “data payloads” that an interpreter treats as code (e.g., procedure languages, table-driven automations). Delivery commonly piggybacks on legitimate pathways: software/firmware updates, file transfer services, table loaders, maintenance consoles, or command sequences that write to executable regions. Once staged, activation can be explicit (a specific command, mode change, or file open), environmental (time/geometry triggers), or accidental, where operator actions or routine autonomy invoke the implanted logic. Malicious code can target any layer it can reach: altering flight software behavior, manipulating payload controllers, patching boot or device firmware, or installing hooks in drivers and gateways that bridge bus and payload traffic. Effects range from subtle logic changes (quiet data tampering, command filtering) to overt actions (forced mode transitions, resource starvation), and may include secondary capabilities like covert communications, key material harvesting, or persistence across resets by rewriting images or configuration entries. | |
| EX-0010.01 | Ransomware | Ransomware on a spacecraft encrypts data or critical configuration so that nominal operations can no longer proceed without the attacker’s cooperation. Targets include mass-memory file stores (engineering telemetry, payload data), configuration and command tables, event logs, on-board ephemerides, and even intermediate buffers used by downlink pipelines. Some variants interfere with key services instead of bulk data, e.g., encrypting a command dictionary or table index so valid inputs are rejected, or wrapping the payload data path in an attacker-chosen cipher so downlinked products appear as noise. By denying access to on-board content or control artifacts at scale, attackers convert execution into bargaining power or irreversible mission degradation. | |
| EX-0010.02 | Wiper Malware | Wipers deliberately destroy or irreversibly corrupt data and, in some cases, executable images to impair or end mission operations. Destructive routines may overwrite with patterns or pseudorandom data, repeatedly reformat volumes, trigger wear mechanisms on non-volatile memory, or manipulate low-level translation layers so recovery tools see a blank or inconsistent device. Activation can be immediate or staged, sleeping until a specific time, pass, or maintenance action, and may be paired with anti-recovery steps such as erasing checksums, undo logs, or golden images. Because wipers operate at storage and image layers that underpin many subsystems, collateral effects can cascade: autonomy enters safing without viable recovery paths, downlinks carry only noise, and subsequent updates cannot be authenticated or applied. The defining feature is irreversible loss of data or executables as the primary objective, rather than concealment or monetization. | |
| EX-0010.03 | Rootkit | A rootkit hides the presence and activity of other malicious components by interposing on the mechanisms that report system state. On spacecraft this can occur within flight software processes, at OS kernel level, inside separation kernels/hypervisors, or down in system firmware where drivers and initialization routines run. Techniques include API and syscall hooking, patching message queues and inter-process communication paths, altering task lists and scheduler views, filtering telemetry packets and event logs, and rewriting sensor or health values before they are recorded or downlinked. Rootkits may also hook command handlers and gateways so certain opcodes, timetags, or sources are silently accepted or ignored while external observers see normal acknowledgments. Because many missions rely on deterministic procedures and limited observability, even small alterations to reporting can make malicious actions appear as plausible mode transitions or benign anomalies. Persistence often pairs with the concealment layer, with the rootkit reinjecting companions after resets or rebuilds by monitoring for specific files, tables, or image loads and modifying them on the fly. | |
| EX-0010.04 | Bootkit | A bootkit positions itself in the pre-OS boot chain so that it executes before normal integrity checks and can shape what the system subsequently trusts. After seizing early control, the bootkit can redirect image selection, patch kernels or flight binaries in memory, adjust device trees and driver tables, or install hooks that persist across warm resets. Some variants maintain shadow copies of legitimate images and present them to basic verification routines while steering actual execution to a modified payload; others manipulate fallback logic so recovery modes load attacker-controlled code. Because the boot path initializes memory maps, buses, and authentication material, a bootkit can also influence key/counter setup and gateway configurations, creating conditions favorable to later tactics. The central characteristic is precedence: by running first, the implant defines the reality higher layers observe, ensuring that every subsequent component launches under conditions curated by the attacker. | |
| EX-0010.05 | On-Board Process Injection | Adversaries may inject malicious code into trusted onboard software processes in order to execute arbitrary functionality within the context of legitimate spacecraft software. Targeted processes may include flight software tasks, operating system services, telemetry handlers, middleware, communication daemons, scheduler services, device drivers, or other mission-critical runtime components. Process injection enables malicious code to inherit the permissions, memory access, execution context, and trust relationships associated with the compromised process. This may allow adversaries to manipulate telemetry, alter spacecraft operational behavior, suppress reporting, interfere with fault management, inject unauthorized commands, or evade detection without interrupting nominal spacecraft operations. Unlike standalone malicious binaries or scripts, injected code executes within legitimate onboard software contexts, causing malicious activity to appear operationally valid and making detection and forensic analysis significantly more difficult. | |
| EX-0014 | Spoofing | The adversary forges inputs that subsystems treat as trustworthy truth, time tags, sensor measurements, bus messages, or navigation signals, so onboard logic acts on fabricated reality. Because many control loops and autonomy rules assume data authenticity once it passes basic sanity checks, carefully shaped spoofs can trigger mode transitions, safing, actuator commands, or payload behaviors without touching flight code. Spoofing may occur over RF (e.g., GNSS, crosslinks, TT&C beacons), over internal networks/buses (message injection with valid identifiers), or at sensor/actuator interfaces (electrical/optical stimulation that produces plausible readings). Effects range from subtle bias (drifting estimates, skewed calibrations) to acute events (unexpected slews, power reconfiguration, recorder re-indexing), and can also pollute downlinked telemetry or science products so ground controllers interpret a false narrative. The hallmark is that the spacecraft chooses the adversary’s action path because the forged data passes through normal processing chains. | |
| EX-0014.05 | Ballistic Missile Spoof | In this variant, attackers deploy decoys or emitters designed to mimic ballistic-missile signatures so early-warning and missile-defense systems allocate interceptors and attention to false targets. Decoys can shape radar cross-section and thermal profiles, stage deployment to simulate staging events, or use cooling/heating to emulate plume and body signatures, while coordinated timing and trajectories reinforce plausibility. The objective is resource depletion and distraction: saturate tracking, cueing, and discrimination so defenses are preoccupied prior to an actual strike or are left with reduced capacity afterward. Although the immediate target is the defense architecture, space-based sensors and their ground processing are integral to the effect; spoofed scenes enter the normal detection and tracking pipelines and propagate as authoritative truth until later discrimination overturns them. | |
| EX-0016 | Jamming | Jamming is an electronic attack that uses radio frequency energy to deny the use of a signal, whether that signal carries communications, navigation, or timing. A jammer must operate in the same frequency band and within the field of view of the antenna it is targeting. Unlike physical attacks, the interference itself is completely reversible: once the jammer is disengaged, reception can be restored. Second-order effects may persist, however, where the outage has already caused a clock to drift, a schedule to slip, or a synchronization state to be lost. Attribution of jamming can be tough because the source can be small and highly mobile, and users operating on the wrong frequency or pointed at the wrong satellite can jam friendly communications.* Similar to intentional jamming, accidental jamming can cause temporary signal degradation. Accidental jamming refers to unintentional interference with communication signals, and it can potentially impact spacecraft in various ways, depending on the severity, frequency, and duration of the interference. *https://aerospace.csis.org/aerospace101/counterspace-weapons-101 | |
| EX-0016.01 | Uplink Jamming | The attacker transmits toward the spacecraft’s uplink receive antenna, within its main lobe or significant sidelobes, at the operating frequency and sufficient power spectral density to drive the uplink Eb/N₀ below the demodulator’s threshold. Uplink jamming prevents acceptance of telecommands and ranging/acquisition traffic, delaying or blocking scheduled operations. Because the receiver resides on the spacecraft, the jammer must be located within the spacecraft’s receive footprint and match its polarization and Doppler conditions well enough to couple energy into the front end. | |
| EX-0016.02 | Downlink Jamming | Downlink jammers target the users of a satellite by creating noise in the same frequency as the downlink signal from the satellite. A downlink jammer only needs to be as powerful as the signal being received on the ground and must be within the field of view of the receiving terminal’s antenna. This limits the number of users that can be affected by a single jammer. Since many ground terminals use directional antennas pointed at the sky, a downlink jammer typically needs to be located above the terminal it is attempting to jam. This limitation can be overcome by employing a downlink jammer on an air or space-based platform, which positions the jammer between the terminal and the satellite. This also allows the jammer to cover a wider area and potentially affect more users. Ground terminals with omnidirectional antennas, such as many GPS receivers, have a wider field of view and thus are more susceptible to downlink jamming from different angles on the ground.* *https://aerospace.csis.org/aerospace101/counterspace-weapons-101 | |
| EX-0016.03 | Position, Navigation, and Timing (PNT) Jamming | The attacker raises the noise floor in GNSS bands so satellite navigation signals are not acquired or tracked. Loss of PNT manifests as degraded or unavailable position/velocity/time solutions, which in turn disrupts functions that depend on them, time distribution, attitude aiding, scheduling, anti-replay windows, and visibility prediction. Because GNSS signals at the receiver are extremely weak, modest jammers within the antenna field of view can produce outsized effects; mobile emitters can create intermittent outages aligned with the attacker’s objectives. | |
| EX-0017 | Kinetic Physical Attack | The adversary inflicts damage by physically striking space assets or their supporting elements, producing irreversible effects that are generally visible to space situational awareness. Kinetic attacks in orbit are commonly grouped into direct-ascent engagements, launched from Earth to intercept a target on a specific pass, and co-orbital engagements, in which an on-orbit vehicle maneuvers to collide with or detonate near the target. Outcomes include structural breakup, loss of attitude control, sensor or antenna destruction, and wholesale mission termination; secondary effects include debris creation whose persistence depends on altitude and geometry. Because launches and on-orbit collisions are measurable, these actions tend to be more attributable and offer near–real-time confirmation of effect compared to non-kinetic methods. | |
| EX-0017.01 | Direct Ascent ASAT | A direct-ascent ASAT is often the most commonly thought of threat to space assets. It typically involves a medium- or long-range missile launching from the Earth to damage or destroy a satellite in orbit. This form of attack is often easily attributed due to the missile launch which can be easily detected. Due to the physical nature of the attacks, they are irreversible and provide the attacker with near real-time confirmation of success. Direct-ascent ASATs create orbital debris which can be harmful to other objects in orbit. Lower altitudes allow for more debris to burn up in the atmosphere, while attacks at higher altitudes result in more debris remaining in orbit, potentially damaging other spacecraft in orbit.* *https://aerospace.csis.org/aerospace101/counterspace-weapons-101 | |
| EX-0017.02 | Co-Orbital ASAT | A co-orbital ASAT uses a spacecraft already in space to conduct a deliberate collision or near-field detonation. After insertion, often well before any hostile action, the vehicle performs rendezvous and proximity operations to achieve the desired relative geometry, then closes to impact or triggers a kinetic or explosive device. Guidance relies on relative navigation (optical, lidar, crosslink cues) and precise timing to manage closing speeds and contact angle. Compared with direct-ascent shots, co-orbital approaches can loiter, shadow, or “stalk” a target for extended periods, masking as inspection or servicing until the terminal maneuver. Effects include mechanical disruption, fragmentation, or mission-ending damage, with debris characteristics shaped by the chosen altitude, closing velocity, and collision geometry. | |
| EX-0018 | Non-Kinetic Physical Attack | The adversary inflicts physical effects on a satellite without mechanical contact, using energy delivered through the environment. Principal modalities are electromagnetic pulse (EMP), high-power laser (optical/thermal effects), and high-power microwave (HPM). These methods can be tuned for reversible disruption (temporary sensor saturation, processor upsets) or irreversible damage (component burnout, optics degradation), and may be executed from ground, airborne, or space platforms given line-of-sight and power/aperture conditions. Forensics are often ambiguous: signatures may resemble environmental phenomena or normal degradations, and confirmation of effect is frequently limited to what the operator observes in telemetry or performance loss. | |
| EX-0018.01 | Electromagnetic Pulse (EMP) | An EMP delivers a broadband, high-amplitude electromagnetic transient that couples into spacecraft electronics and harnesses, upsetting or damaging components over wide areas. In space, the archetype is a high-altitude nuclear event whose prompt fields induce immediate upsets and whose secondary radiation environment elevates dose and charging for an extended period along affected orbits. Consequences include widespread single-event effects, latch-ups, permanent degradation of sensitive devices, and accelerated aging of solar arrays and materials. The effect envelope is large and largely indiscriminate: multiple satellites within view can experience simultaneous anomalies consistent with intense electromagnetic stress and enhanced radiation. | |
| EX-0018.02 | High-Powered Laser | A high-powered laser can be used to permanently or temporarily damage critical satellite components (i.e. solar arrays or optical centers). If directed toward a satellite’s optical center, the attack is known as blinding or dazzling. Blinding, as the name suggests, causes permanent damage to the optics of a satellite. Dazzling causes temporary loss of sight for the satellite. While there is clear attribution of the location of the laser at the time of the attack, the lasers used in these attacks may be mobile, which can make attribution to a specific actor more difficult because the attacker does not have to be in their own nation, or even continent, to conduct such an attack. Only the satellite operator will know if the attack is successful, meaning the attacker has limited confirmation of success, as an attacked nation may not choose to announce that their satellite has been attacked or left vulnerable for strategic reasons. A high-powered laser attack can also leave the targeted satellite disabled and uncontrollable, which could lead to collateral damage if the satellite begins to drift. A higher-powered laser may permanently damage a satellite by overheating its parts. The parts most susceptible to this are satellite structures, thermal control panels, and solar panels.* *https://aerospace.csis.org/aerospace101/counterspace-weapons-101 | |
| EX-0018.03 | High-Powered Microwave | High-powered microwave (HPM) weapons can be used to disrupt or destroy a satellite’s electronics. A “front-door” HPM attack uses a satellite’s own antennas as an entry path, while a “back-door” attack attempts to enter through small seams or gaps around electrical connections and shielding. A front-door attack is more straightforward to carry out, provided the HPM is positioned within the field of view of the antenna that it is using as a pathway, but it can be thwarted if the satellite uses circuits designed to detect and block surges of energy entering through the antenna. In contrast, a back-door attack is more challenging, because it must exploit design or manufacturing flaws, but it can be conducted from many angles relative to the satellite. Both types of attacks can be either reversible or irreversible; however, the attacker may not be able to control the severity of the damage from the attack. Both front-door and back-door HPM attacks can be difficult to attribute to an attacker, and like a laser weapon, the attacker may not know if the attack has been successful. A HPM attack may leave the target satellite disabled and uncontrollable which can cause it to drift into other satellites, creating further collateral damage.* *https://aerospace.csis.org/aerospace101/counterspace-weapons-101 | |
| PER-0002 | Backdoor | A backdoor is a covert access path that bypasses normal authentication, authorization, or operational checks so the attacker can reenter the system on demand. Backdoors may be preexisting (undocumented service modes, maintenance accounts, debug features) or introduced by the adversary during development, integration, or on-orbit updates. Triggers range from “magic” opcodes and timetags to specific geometry/time conditions, counters, or data patterns embedded in routine traffic. The access they provide varies from expanded command sets and relaxed rate/size limits to alternate communications profiles and hidden file/parameter interfaces. Well-crafted backdoors blend with nominal behavior, appearing as ordinary operations while quietly accepting instructions that other paths would reject, thereby sustaining the attacker’s foothold across passes, resets, and operator handovers. | |
| PER-0002.01 | Hardware Backdoor | Hardware backdoors leverage properties of the physical design to provide durable, low-visibility reentry. Examples include enabled test/scan chains, manufacturing or boot-strap modes invoked by pins or registers, persistent debug interfaces (JTAG/SWD/UART), undocumented device commands, and logic inserted in FPGA/ASIC designs that activates under specific stimuli. Because these mechanisms sit below or beside flight software, they can grant direct access to buses, memories, or peripheral control even when higher layers appear healthy. Triggers may be electrical (pin states, voltage/clock sequences), protocol-level (special patterns on an instrument link), or environmental/temporal (particular temperature ranges, timing offsets). Once on orbit, such pathways are difficult to remove or reconfigure, allowing the attacker to persist by reusing the same physical entry points whenever conditions are met. | |
| PER-0002.02 | Software Backdoor | Software backdoors are code paths intentionally crafted or later inserted to provide privileged functionality on cue. In flight contexts, they appear as hidden command handlers, alternate authentication checks, special user/role constructs, or procedure/script hooks that accept nonpublic inputs. They can be embedded in flight applications, separation kernels or drivers, gateway processors that translate bus/payload traffic, or update/loader utilities that handle tables and images. SDR configurations offer another avenue: non-public waveforms, subcarriers, or framing profiles that, when selected, expose a private command channel. Activation is often conditional, specific timetags, geometry, message sequences, or file names, to keep the feature dormant during routine testing and operations. Once present, the backdoor provides a repeatable way to execute commands or modify state without traversing the standard control surfaces, sustaining the adversary’s access over time. | |
| PER-0005 | Credentialed Persistence | Threat actors may acquire or leverage valid credentials to maintain persistent access to a spacecraft or its supporting command and control (C2) systems. These credentials may include system service accounts, user accounts, maintenance access credentials, cryptographic keys, or other authentication mechanisms that enable continued entry without triggering access alarms. By operating with legitimate credentials, adversaries can sustain access over extended periods, evade detection, and facilitate follow-on tactics such as command execution, data exfiltration, or lateral movement. Credentialed persistence is particularly effective in environments lacking strong credential lifecycle management, segmentation, or monitoring allowing threat actors to exploit trusted pathways while remaining embedded in mission operations. | |
| DE-0007 | Evasion via Rootkit | A rootkit hides malicious activity by interposing on reporting paths after the system has booted. In flight contexts this includes patching flight software APIs, kernel syscalls, message queues, and telemetry publishers so task lists, counters, health channels, and event severities are falsified before downlink. Command handlers can be hooked to suppress evidence of certain opcodes or sources; recorder catalogs and file listings can be rewritten on the fly; and housekeeping can be biased to show nominal temperatures, currents, or voltages while actions proceed. The defining feature is runtime concealment: the observability surfaces operators rely on are altered to present a curated, benign narrative. | |
| DE-0008 | Evasion via Bootkit | A bootkit hides activity by running first and shaping what higher layers will later observe. Positioned in boot ROM handoff or early loaders, it can select or patch images in memory, alter device trees and driver tables, seed forged counters and timestamps, and preconfigure telemetry/crypto modes so subsequent components launch into a reality curated by the attacker. Because integrity and logging mechanisms are initialized afterward, the resulting view of processes, files, and histories reflects the bootkit’s choices, allowing long-term evasion that persists across resets and mode transitions. | |
| DE-0009 | Camouflage, Concealment, and Decoys (CCD) | The adversary exploits the physical and operational environment, or manipulates the sensing and processing on which observers depend, to reduce detectability, mislead, or provoke a response. Tactics include signature management (minimizing RF/optical/thermal/RCS), controlled emissions timing, deliberate power-down/dormancy, geometry choices that hide within clutter or eclipse, and the deployment of decoys that generate convincing tracks. CCD can also leverage naturally noisy conditions, debris-rich regions, auroral radio noise, solar storms, to mask proximity operations or to provide plausible alternate explanations for anomalies. The unifying theme is perception management: shape what sensors and their processing chains perceive so surveillance and attribution lag, misclassify, or look elsewhere. This may be achieved through the environment, through decoys and signatures presented to distant observers, or through deception directed at a particular vehicle’s onboard sensing or a particular ground processing pipeline. The same methods may be used to provoke a defender into committing limited resources prematurely. | |
| DE-0009.03 | Trigger Premature Intercept | Decoys and deceptive signatures are used to provoke defenders into committing limited resources early, inspection vehicles, interceptors, laser dwell time, maneuver fuel, or analyst attention. The attacker deploys objects or emissions that mimic credible threats (trajectories, RCS/brightness, modulation) so tracking and discrimination systems prioritize the decoy. While defenses engage, the true operation proceeds with reduced scrutiny, or follows shortly after when defensive capacity and timelines are depleted. The effect is resource exhaustion and timeline compression on the defender’s side, increasing the success window for the actual action. | |
| DE-0009.05 | Corruption or Overload of Ground-Based SDA Systems | The adversary targets terrestrial space-domain awareness pipelines, sensor networks, tracking centers, catalogs, and their data flows, to blind or confuse broad-area monitoring. Paths include compromising or spoofing observational feeds (radar/optical returns, TLE updates, ephemeris exchanges), injecting falsified or time-shifted tracks, tampering with fusion/association parameters, and saturating ingestion and alerting with noisy or adversarial inputs. Where SDA employs AI/ML for detection and correlation, the attacker can degrade models by flooding them with ambiguous scenes or crafted features that increase false positives/negatives and consume analyst cycles. Unlike onboard deception, this approach skews the external decision-support picture across many assets at once, delaying detection of real maneuvers and providing cover for concurrent operations. | |
| DE-0011 | Credentialed Evasion | Threat actors may leverage valid credentials to conduct unauthorized actions against a spacecraft or related system in a way that conceals their presence and evades detection. By using trusted authentication mechanisms attackers can blend in with legitimate operations and avoid triggering access control alarms or anomaly detection systems. This technique enables evasion by appearing authorized, allowing adversaries to issue commands, access sensitive subsystems, or move laterally within spacecraft or constellation architectures without exploiting software vulnerabilities. When credential use is poorly segmented or monitored, this form of access can be used to maintain stealthy persistence or facilitate other tactics under the guise of legitimate activity. | |
| LM-0007 | Credentialed Traversal | Movement is achieved by reusing legitimate credentials and keys to cross boundaries that rely on trust rather than strict isolation. Using operator or service accounts, maintenance logins, station certificates, or spacecraft-recognized crypto, the adversary invokes gateways that bridge domains, C&DH to payload, crosslink routers to onboard networks, or constellation management planes to individual vehicles. Because the traversal occurs through approved interfaces (file services, table loaders, remote procedure calls, crosslink tasking), actions appear as routine operations while reaching progressively more privileged subsystems or neighboring spacecraft. Where roles and scopes are broad or reused, the same credential opens multiple enclaves, turning authorization itself into the lateral path. | |
| EXF-0003 | Signal Interception | The adversary captures mission traffic in transit, on ground networks or over the space link, so that payload products, housekeeping, and command/ack exchanges can be reconstructed offline. Vantage points include tapped ground LANs/WANs between MOC and stations, baseband interfaces (IF/IQ), RF/optical receptions within the antenna field of view, and crosslink monitors. Depending on protection, the haul ranges from plaintext frames to encrypted bitstreams whose headers, rates, and schedules still yield valuable context (APIDs, VCIDs, pass timing, file manifest cues). Intercepted sessions can guide later replay, cloning, or targeted downlink requests. | |
| EXF-0003.01 | Uplink Exfiltration | Here the target is command traffic from ground to space. By receiving or tapping the uplink path, the adversary collects telecommand frames, ranging/acquisition exchanges, and any file or table uploads. If confidentiality is weak or absent, opcode/argument content, dictionaries, and procedures become directly readable; even when encrypted, session structure, counters, and acceptance timing inform future command-link intrusion or replay. Captured material can reveal maintenance windows, contingency dictionaries, and authentication schemes that enable subsequent exploitation. | |
| EXF-0003.02 | Downlink Exfiltration | The attacker records spacecraft-to-ground traffic, real-time telemetry, recorder playbacks, payload products, and mirrored command sessions, to obtain mission data and health/state information. With sufficient signal quality and protocol knowledge, frames and packets are demodulated and extracted for offline use; where protection exists only on uplink or is inconsistently applied, downlink content may still be in clear. Downlinked command echoes, event logs, and file catalogs can expose internal activities and aid follow-on targeting while the primary objective remains data capture at scale. | |
| EXF-0006 | Modify Communications Configuration | The adversary alters radio/optical link configuration so the spacecraft emits mission data over paths the program does not monitor or control. Levers include retuning carriers, adding sidebands or subcarriers, changing modulation/coding profiles, remapping virtual channels/APIDs, editing beacon content, or redirecting routing tables in regenerative payloads. Data can be embedded steganographically (idle fields, padding, frame counters, pilot tones) or carried on a covert auxiliary downlink/crosslink pointed at attacker-owned apertures. Because these emissions conform to plausible waveforms and scheduler behavior, they appear as ordinary link activity while quietly conveying payload products, housekeeping, or file fragments to non-mission receivers. | |
| EXF-0006.01 | Software Defined Radio | Programmable SDRs let an attacker introduce new waveforms or piggyback payloads into existing ones. By modifying DSP chains (filters, mixers, FEC, framing), the actor can: add a low-rate subcarrier under the main modulation, alter preamble/pilot sequences to encode bits, vary puncturing/interleaver patterns as a covert channel, or schedule brief “maintenance” bursts that actually carry exfiltrated data. Changes may be packaged as legitimate updates or configuration profiles so the SDR transmits toward attacker-visible geometry using standard equipment, while mission tooling interprets the emission as routine. | |
| EXF-0006.02 | Transponder | On bent-pipe or regenerative transponders, configuration controls what is translated, amplified, and routed. An adversary can remap input–output paths, shift translation frequencies, adjust polarization or gain to favor non-mission receivers, or enable auxiliary ports so selected virtual channels or recorder playbacks are forwarded outside the planned ground segment. In regenerative systems, edited routing tables or QoS rules can mirror traffic to an attacker-controlled endpoint. The result is a sanctioned-looking carrier that quietly delivers mission data to unauthorized listeners. | |
| EXF-0007 | Compromised Ground System | The adversary resides in mission ground infrastructure and uses its trusted position to siphon data at scale. With access to operator workstations, mission control servers, baseband/modem chains, telemetry processing pipelines, or archive databases, the attacker can mirror real-time streams, scrape recorder playbacks, export payload products, and harvest procedure logs and command histories. Because exfiltration rides normal paths, file staging areas, data distribution services, cloud relays, or cross-site links, it blends with routine dissemination. Compromise of scheduling tools and pass plans also lets the actor time captures to high-value downlinks and automate bulk extraction without touching the spacecraft. | |
| EXF-0008 | Compromised Developer Site | By breaching development or integration environments (at the mission owner, contractor, or partner), the adversary gains access to source code, test vectors, telemetry captures, build artifacts, documentation, and configuration data, material that is often more complete than flight archives. Beyond theft of intellectual property, the attacker can embed telemetry taps, extended logging, or data “export” features into test harnesses, simulators, or flight builds so that, once fielded, the system produces extra observables or forwards content to non-mission endpoints. This activity typically occurs pre-launch during software production and ATLO, positioning exfiltration mechanisms to activate later in flight. | |
| EXF-0009 | Compromised Partner Site | The adversary leverages third-party infrastructure connected to the mission, commercial ground stations, relay networks, operations service providers, data processing partners, to capture or relay mission data outside official channels. From these footholds, the attacker can mirror TT&C and payload feeds, scrape shared repositories, and man-in-the-middle cross-organization links (e.g., between partner stations and the primary MOC). Because partner environments vary in segmentation and monitoring, exfiltration can affect multiple missions or operators simultaneously, with stolen data exiting through the partner’s routine distribution mechanisms. | |
| ID | Description | |
| SV-AC-3 |
Compromised master keys or any encryption key |
|
| SV-CF-2 |
Eavesdropping (RF and proximity) |
|
| SV-IT-2 |
Unauthorized modification or corruption of data |
|
| SV-MA-2 |
Heaters and flow valves of the propulsion subsystem are controlled by electric signals so cyberattacks against these signals could cause propellant lines to freeze, lock valves, waste propellant or even put in de-orbit or unstable spinning |
|
| SV-AV-4 |
Attacking the scheduling table to affect tasking |
|
| SV-IT-5 |
Onboard control procedures (i.e., ATS/RTS) that execute a scripts/sets of commands |
|
| SV-MA-3 |
Attacks on critical software subsystems Attitude Determination and Control (AD&C) subsystem determines and controls the orientation of the satellite. Any cyberattack that could disrupt some portion of the control loop - sensor data, computation of control commands, and receipt of the commands would impact operations Telemetry, Tracking and Commanding (TT&C) subsystem provides interface between satellite and ground system. Computations occur within the RF portion of the TT&C subsystem, presenting cyberattack vector Command and Data Handling (C&DH) subsystem is the brains of the satellite. It interfaces with other subsystems, the payload, and the ground. It receives, validate, decodes, and sends commands to other subsystems, and it receives, processes, formats, and routes data for both the ground and onboard computer. C&DH has the most cyber content and is likely the biggest target for cyberattack. Electrical Power Subsystem (EPS) provides, stores, distributes, and controls power on the satellite. An attack on EPS could disrupt, damage, or destroy the satellite. |
|
| SV-SP-1 |
Exploitation of software vulnerabilities (bugs); Unsecure code, logic errors, etc. in the FSW. |
|
| SV-SP-3 |
Introduction of malicious software such as a virus, worm, Distributed Denial-Of-Service (DDOS) agent, keylogger, rootkit, or Trojan Horse |
|
| SV-SP-6 |
Software reuse, COTS dependence, and standardization of onboard systems using building block approach with addition of open-source technology leads to supply chain threat |
|
| SV-SP-9 |
On-orbit software updates/upgrades/patches/direct memory writes. If TT&C is compromised or MOC or even the developer's environment, the risk exists to do a variation of a supply chain attack where after it is in orbit you inject malicious code |
|
| SV-AC-5 |
Proximity operations (i.e., grappling satellite) |
|
| SV-AC-6 |
Three main parts of S/C. CPU, memory, I/O interfaces with parallel and/or serial ports. These are connected via busses (i.e., 1553) and need segregated. Supply chain attack on CPU (FPGA/ASICs), supply chain attack to get malware burned into memory through the development process, and rogue RTs on 1553 bus via hosted payloads are all threats. Security or fault management being disabled by non-mission critical or payload; fault injection or MiTM into the 1553 Bus - China has developed fault injector for 1553 - this could be a hosted payload attack if payload has access to main 1553 bus; One piece of FSW affecting another. Things are not containerized from the OS or FSW perspective; |
|
| SV-AC-8 |
Malicious Use of hardware commands - backdoors / critical commands |
|
| SV-AV-2 |
Satellites base many operations on timing especially since many operations are automated. Cyberattack to disrupt timing/timers could affect the vehicle (Time Jamming / Time Spoofing) |
|
| SV-AV-3 |
Affect the watchdog timer onboard the satellite which could force satellite into some sort of recovery mode/protocol |
|
| SV-IT-3 |
Compromise boot memory |
|
| SV-IT-4 |
Cause bit flip on memory via single event upsets |
|
| SV-MA-8 |
Payload (or other component) is told to constantly sense or emit or run whatever mission it had to the point that it drained the battery constantly / operated in a loop at maximum power until the battery is depleted. |
|
| SV-SP-11 |
Software defined radios - SDR is also another computer, networked to other parts of the spacecraft that could be pivoted to by an attacker and infected with malicious code. Once access to an SDR is gained, the attacker could alter what the SDR thinks is correct frequencies and settings to communicate with the ground. |
|
| SV-SP-7 |
Software can be broken down into three levels (operating system and drivers’ layer, data handling service layer, and the application layer). Highest impact on system is likely the embedded code at the BIOS, kernel/firmware level. Attacking the on-board operating systems. Since it manages all the programs and applications on the computer, it has a critical role in the overall security of the system. Since threats may occur deliberately or due to human error, malicious programs or persons, or existing system vulnerability mitigations must be deployed to protect the OS. |
|
| SV-AV-5 |
Using fault management system against you. Understanding the fault response could be leveraged to get satellite in vulnerable state. Example, safe mode with crypto bypass, orbit correction maneuvers, affecting integrity of TLM to cause action from ground, or some sort of RPO to cause S/C to go into safe mode; |
|
| SV-AV-6 |
Complete compromise or corruption of running state |
|
| SV-DCO-1 |
Not knowing that you were attacked, or attack was attempted |
|
| SV-MA-5 |
Not being able to recover from cyberattack |
|
| SV-AC-1 |
Attempting access to an access-controlled system resulting in unauthorized access |
|
| SV-AC-2 |
Replay of recorded authentic communications traffic at a later time with the hope that the authorized communications will provide data or some other system reaction |
|
| SV-CF-1 |
Tapping of communications links (wireline, RF, network) resulting in loss of confidentiality; Traffic analysis to determine which entities are communicating with each other without being able to read the communicated information |
|
| SV-CF-4 |
Adversary monitors for safe-mode indicators such that they know when satellite is in weakened state and then they launch attack |
|
| SV-IT-1 |
Communications system spoofing resulting in denial of service and loss of availability and data integrity |
|
| SV-AC-7 |
Weak communication protocols. Ones that don't have strong encryption within it |
|
| SV-AV-1 |
Communications system jamming resulting in denial of service and loss of availability and data integrity |
|
| SV-MA-7 |
Exploit ground system and use to maliciously to interact with the spacecraft |
|
| SV-AC-4 |
Masquerading as an authorized entity in order to gain access/Insider Threat |
|
| SV-AV-7 |
The TT&C is the lead contributor to satellite failure over the first 10 years on-orbit, around 20% of the time. The failures due to gyro are around 12% between year one and 6 on-orbit and then ramp up starting around year six and overtake the contributions of the TT&C subsystem to satellite failure. Need to ensure equipment is not counterfeit and the supply chain is sound. |
|
| SV-CF-3 |
Knowledge of target satellite's cyber-related design details would be crucial to inform potential attacker - so threat is leaking of design data which is often stored Unclass or on contractors’ network |
|
| SV-MA-4 |
Not knowing what your crown jewels are and how to protect them now and in the future. |
|
| SV-MA-6 |
Not planning for security on SV or designing in security from the beginning |
|
| SV-SP-10 |
Compromise development environment source code (applicable to development environments not covered by threat SV-SP-1, SV-SP-3, and SV-SP-4). |
|
| SV-SP-2 |
Testing only focuses on functional requirements and rarely considers end to end or abuse cases |
|
| SV-SP-4 |
General supply chain interruption or manipulation |
|
| SV-SP-5 |
Hardware failure (i.e., tainted hardware) {ASIC and FPGA focused} |
|
| SPARTA ID | Requirement | Rationale/Additional Guidance/Notes |
|---|---|---|
| SPR-1 | The [spacecraft] shall implement a reference monitor mechanism that mediates access between subjects and objects based on a defined set of rules, that is designed and configured to resist tampering or unauthorized alteration, providing a reliable and secure foundation for access control within the information system.{SV-AC-1,SV-AC-4,SV-SP-7}{AC-25} | A reference monitor provides the foundational enforcement point for all access control decisions within the spacecraft. Without a tamper-resistant mediation layer, compromised flight software or malicious code could directly access critical memory, processes, or hardware interfaces. The mechanism must be isolated from modifiable flight software to preserve integrity under adversarial conditions. |
| SPR-2 | The [spacecraft] shall ensure that sensitive information can only be accessed by personnel with appropriate roles and an explicit need for such information to perform their duties.{SV-CF-3,SV-AC-4}{AC-3(11),CM-12} | Space system sensitive information can include a wide range of candidate material: functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of link segment protections subject to disabling/bypassing, failure/anomaly resolution, and any other sensitive information related to architecture, software, and mission operations. |
| SPR-3 | The [spacecraft] shall enforce approved authorizations for controlling the flow of information within the platform and between interconnected systems so that information does not leave the platform boundary unless it is encrypted. Flow control shall be implemented in conjunction with protected processing domains, security‑policy filters with fully enumerated formats, and a default‑deny communications baseline.{SV-AC-6}{AC-3(3),AC-3(4),AC-4,AC-4(2),AC-4(6),AC-4(21),CA-3,CA-3(6),CA-3(7),CA-9,IA-9,SA-8(19),SC-8(1),SC-16(3)} | Spacecraft operate in constrained and deterministic environments where uncontrolled data flows can enable data exfiltration, cross-domain leakage, or lateral movement between subsystems. Enforcing approved authorizations with enumerated formats and a default-deny posture ensures only explicitly permitted communications occur. Encryption enforcement at platform boundaries prevents unauthorized disclosure of telemetry or state information. |
| SPR-4 | The [spacecraft] security implementation shall ensure that information should not be allowed to flow between partitioned applications unless explicitly permitted by the system.{SV-AC-6,SV-MA-3,SV-SP-7}{AC-3(3),AC-3(4),AC-4,AC-4(6),AC-4(21),CA-9,IA-9,SA-8(3),SA-8(18),SA-8(19),SC-2(2),SC-7(29),SC-16,SC-32} | Strict partitioning prevents compromise of one application from cascading into mission-critical subsystems. Many spacecraft attacks exploit flat architectures where subsystems implicitly trust one another. Explicit inter-partition authorization limits lateral movement and privilege escalation. This supports containment and fault isolation under both cyber and fault conditions. |
| SPR-5 | The [organization] shall state that information should not be allowed to flow between partitioned applications unless explicitly permitted by the Program's security policy.{SV-AC-6}{AC-4,AC-4(6)} | Technical enforcement must be anchored in formal policy to ensure consistency across development, integration, and operations. Codifying partition isolation requirements prevents mission creep and ad hoc exceptions that weaken domain separation. This establishes traceability between architecture design and security governance. It also ensures subcontractors and integrators apply consistent constraints. |
| SPR-6 | The [spacecraft] shall utilize automated mechanisms to protect sensitive information and detect and alert when sensitive information is accessed without satisfying defined criteria.{SV-DCO-1,SV-AC-1}{CM-12(1)} | Manual monitoring is insufficient in time-sensitive, communication-limited spacecraft environments. Automated detection of unauthorized access enables rapid identification of insider misuse, malicious code execution, or policy violations. This supports onboard intrusion detection and timely ground awareness. The mechanism should differentiate anomaly from normal operational variance. |
| SPR-7 | The [organization] shall document and design a security architecture using a defense-in-depth approach that allocates the [organization]s defined safeguards to the indicated locations and layers: [Examples include: operating system abstractions and hardware mechanisms to the separate processors in the platform, internal components, and the FSW].{SV-MA-6}{CA-9,PL-7,PL-8,PL-8(1),SA-8(3),SA-8(4),SA-8(7),SA-8(9),SA-8(11),SA-8(13),SA-8(19),SA-8(29),SA-8(30)} | Spacecraft security cannot rely on a single control; layered defenses reduce the likelihood of catastrophic compromise. Documenting safeguard allocation across hardware, OS, firmware, and FSW ensures coverage across attack surfaces. This supports resiliency against both cyber intrusion and supply chain weaknesses. Clear documentation enables verification and independent assessment. |
| SPR-8 | The [organization] shall ensure that the allocated security safeguards operate in a coordinated and mutually reinforcing manner.{SV-MA-6}{CA-7(5),PL-7,PL-8(1),SA-8(19)} | Independent controls that operate in isolation may create security gaps or conflicting behaviors. Coordinated safeguards ensure that encryption, authentication, partitioning, and monitoring functions reinforce each other rather than undermine availability or safety. This reduces bypass risk and improves fault/cyber response integration. Cohesive operation is essential for resilient mission assurance. |
| SPR-9 | The [organization] shall implement a security architecture and design that provides the required security functionality, allocates security controls among physical and logical components, and integrates individual security functions, mechanisms, and processes together to provide required security capabilities and a unified approach to protection.{SV-MA-6}{PL-7,SA-2,SA-8,SA-8(1),SA-8(2),SA-8(3),SA-8(4),SA-8(5),SA-8(6),SA-8(7),SA-8(9),SA-8(11),SA-8(13),SA-8(19),SA-8(29),SA-8(30),SC-32,SC-32(1)} | Security functionality must be intentionally distributed across physical and logical components rather than bolted on post-design. A unified architecture prevents inconsistent enforcement, duplicated controls, or unprotected interfaces. Integrated design reduces attack surface and improves verification of mission-critical protections. |
| SPR-10 | The [spacecraft] shall protect authenticator content from unauthorized disclosure and modification.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),IA-5,IA-5(6),RA-5(4),SA-8(18),SA-8(19),SC-28(3)} | Authenticators (keys, tokens, counters, certificates) are primary targets for persistent access attacks. Disclosure or modification enables command spoofing, replay, and privilege escalation. Protecting authenticator content preserves command integrity and prevents adversaries from maintaining covert control. Integrity protections must apply both at rest and in use. |
| SPR-11 | The [spacecraft] encryption key handling shall be handled outside of the onboard software and protected using cryptography.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),SA-8(19),SA-9(6),SC-8(1),SC-12,SC-28(1),SC-28(3)} | Key management separated from modifiable flight software reduces exposure to software compromise. If keys are accessible to onboard applications, malicious code could extract or misuse them. Hardware-anchored or externally managed key handling reduces persistence risk. This supports trust-chain assurance and mitigates firmware-level compromise. |
| SPR-12 | The [spacecraft] encryption keys shall be restricted so that the onboard software is not able to access the information for key readout.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),SA-8(19),SA-9(6),SC-8(1),SC-12,SC-28(3)} | Even privileged software must not be able to retrieve plaintext keys. Preventing readout mitigates malware harvesting and insider misuse. Key usage should be mediated through cryptographic modules rather than direct exposure. This enforces least privilege at the cryptographic boundary. |
| SPR-13 | The [spacecraft] encryption keys shall be restricted so that they cannot be read via any telecommands.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),SA-8(19),SA-9(6),SC-8(1),SC-12,SC-28(3)} | Telecommand paths are high-value targets for adversarial exploitation. Allowing keys to be retrieved via command interfaces creates a catastrophic failure mode. This constraint prevents exfiltration even under partial compromise of command processing logic. It ensures encryption protections cannot be remotely dismantled. |
| SPR-14 | The [spacecraft] shall authenticate the ground station (and all commands) and other spacecraft before establishing remote connections using bidirectional authentication that is cryptographically based.{SV-AC-1,SV-AC-2}{AC-3,AC-17,AC-17(2),AC-17(10),AC-18(1),AC-20,IA-3(1),IA-4,IA-4(9),IA-7,IA-9,SA-8(18),SA-8(19),SA-9(2),SC-7(11),SC-16(1),SC-16(2),SC-16(3),SC-23(3),SI-3(9)} | Authorization can include embedding opcodes in command strings, using trusted authentication protocols, identifying proper link characteristics such as emitter location, expected range of receive power, expected modulation, data rates, communication protocols, beamwidth, etc.; and tracking command counter increments against expected values. |
| SPR-15 | The [spacecraft] shall implement cryptographic mechanisms to identify and reject wireless transmissions that are deliberate attempts to achieve imitative or manipulative communications deception based on signal parameters.{SV-AV-1,SV-IT-1}{AC-3,AC-20,SA-8(19),SC-8(1),SC-23(3),SC-40(3),SI-4(13),SI-4(24),SI-4(25),SI-10(6)} | Adversaries may attempt imitative RF signals to inject commands or manipulate spacecraft behavior. Signal parameter validation (modulation, power, timing, waveform characteristics) strengthens command authentication beyond cryptographic validation alone. This helps mitigate spoofing, replay, and rogue emitter attacks. RF-layer validation complements cryptographic controls. |
| SPR-16 | The [spacecraft] shall ensure that processes reusing a shared system resource (e.g., registers, main memory, secondary storage) do not have access to information (including encrypted representations of information) previously stored in that resource after formal release, by clearing or zeroizing the resource prior to reuse.{SV-AC-6}{AC-3,PM-32,SA-8(2),SA-8(5),SA-8(6),SA-8(19),SC-4,SI-3} | Residual data in memory or registers can create covert channels or leakage paths between partitions. Zeroization prevents recovery of sensitive data by subsequent processes. This mitigates cross-domain leakage and memory scraping attacks. Clearing encrypted remnants is equally important to prevent cryptanalytic exploitation. |
| SPR-17 | The [spacecraft] shall protect the confidentiality and integrity of all information at rest using cryptography.{SV-CF-1,SV-CF-2,SV-AC-3}{AC-3,SA-8(19),SC-28,SC-28(1),SI-7(6)} | * The intent as written is for all transmitted traffic to be protected. This includes internal to internal communications and especially outside of the boundary. |
| SPR-18 | The [spacecraft] shall protect the confidentiality and integrity of information during preparation for transmission, transmission, and reception, in accordance with the [organization]‑provided encryption matrix.{SV-AC-7}{AC-3,SA-8(19),SC-8,SC-8(1),SC-8(2),SC-16,SC-16(1),SC-40} | * Preparation for transmission and during reception includes the aggregation, packing, and transformation options performed prior to transmission and the undoing of those operations that occur upon receipt. |
| SPR-19 | The [spacecraft] shall encrypt all telemetry on downlink regardless of operating mode to protect current state of spacecraft.{SV-CF-4}{AC-3(10),RA-5(4),SA-8(18),SA-8(19),SC-8,SC-8(1),SC-13} | Telemetry exposes real-time spacecraft state and configuration. Unencrypted telemetry can reveal vulnerabilities, operational status, or targeting information. Enforcing encryption across all modes prevents intelligence collection and mission state inference. This mitigates passive RF interception threats. |
| SPR-20 | The [spacecraft] shall prevent use of a mode of operations where cryptography on the TT&C link can be disabled; encryption and authentication shall remain enabled even when automated access control mechanisms are overridden.{SV-AC-1,SV-CF-1,SV-CF-2}{AC-3(10),SA-8(18),SA-8(19),SC-16(2),SC-16(3),SC-40,SC-40(4)} | Emergency or override modes often become attack vectors if protections are weakened. Cryptography must remain enforced even during safe-mode or degraded operations. Removing encryption capability creates a single-point catastrophic exposure. Persistent protection ensures no operational shortcut undermines mission assurance. |
| SPR-21 | The [spacecraft], when transferring information between different security domains, shall implement security‑policy filters that require fully enumerated formats that restrict data structure and content.{SV-AC-6}{AC-3(3),AC-3(4),AC-4(14),IA-9,SA-8(19),SC-16,SI-10} | Fully enumerated formats prevent injection of malformed or malicious data across security domains. This reduces parser exploitation, data smuggling, and covert channel abuse. Strict domain filtering supports deterministic and auditable inter-domain communication. Only explicitly defined data structures should be permitted. |
| SPR-22 | The [spacecraft] shall implement boundary protections to separate bus, communications, and payload components supporting their respective functions.{SV-AC-6}{AC-3(3),AC-3(4),CA-9,SA-8(3),SA-8(14),SA-8(18),SA-8(19),SA-17(7),SC-2,SC-2(2),SC-7(13),SC-7(21),SC-7(29),SC-16(3),SC-32,SI-3,SI-4(13),SI-4(25)} | Flat architectures allow compromise of one subsystem to impact all others. Segregated boundaries reduce lateral movement and mission degradation. Isolation ensures payload compromise does not impact TT&C or bus control. This supports containment and survivability. |
| SPR-23 | The [spacecraft] shall isolate mission critical functionality from non-mission critical functionality.{SV-AC-6}{AC-3(3),AC-3(4),CA-9,SA-8(3),SA-8(19),SA-17(7),SC-2,SC-3,SC-3(4),SC-7(13),SC-7(29),SC-32,SC-32(1),SI-3,SI-7(10),SI-7(12)} | Non-critical functions often expand attack surface. Isolation prevents less-trusted components from affecting propulsion, attitude control, or power systems. This reduces cascading failure risk under compromise. Mission-critical systems must maintain operational continuity. |
| SPR-24 | The [spacecraft] data within partitioned applications shall not be read or modified by other applications/partitions.{SV-AC-6}{AC-3(3),AC-3(4),SA-8(19),SC-2(2),SC-4,SC-6,SC-32} | Application partitions must enforce strict read/write controls to prevent unauthorized state modification. Without this control, malicious code can alter mission parameters or falsify telemetry. Isolation protects integrity of subsystem data and prevents corruption propagation. |
| SPR-25 | The [spacecraft] shall prevent unauthorized access to system resources by employing an efficient capability based object model that supports both confinement and revocation of these capabilities when the platform security deems it necessary.{SV-AC-6}{AC-3(8),IA-4(9),PM-32,SA-8(2),SA-8(5),SA-8(6),SA-8(18),SA-8(19),SC-2(2),SC-4,SC-16,SC-32,SI-3} | Capability models restrict access to explicit, revocable tokens of authority. This enforces least privilege and supports dynamic revocation under threat conditions. Confinement reduces damage radius of compromised processes. Revocation capability enables adaptive cyber response. |
| SPR-26 | The [spacecraft] shall use protected processing domains to enforce the policy that information does not leave the platform boundary unless it is encrypted as a basis for flow‑control decisions and shall enumerate permitted inter‑domain flows and enforce domain‑gate checks on any domain switch. {SV-AC-6}{AC-4(2),IA-9,SA-8(19),SC-8(1),SC-16(3)} | Domain gates provide controlled transition points between security domains. Enumerated flows prevent unintentional data leakage and enforce encryption policies at boundaries. This mitigates cross-domain injection and exfiltration. Strong gate enforcement prevents privilege escalation during context switching. |
| SPR-27 | The [spacecraft] shall define the security functions and security-relevant information for which the system must protect from unauthorized access.{SV-MA-4,SV-MA-6}{AC-6(1),SA-8(19),SC-7(13),SC-16} | Clearly identifying security-relevant functions ensures protections are applied to the correct assets. Undefined security boundaries create ambiguity and inconsistent enforcement. Explicit definition supports verification, testing, and threat modeling. This forms the basis for risk-informed control allocation. |
| SPR-28 | The [spacecraft] shall provide the capability to enter the platform into a known good, operational cyber-safe mode from a tamper-resistant, configuration-controlled (“gold”) image that is authenticated as coming from an acceptable supplier, and has its integrity verified. The [spacecraft] shall refresh only from cryptographically authenticated [organization]-approved sources.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-10(6),CP-12,CP-13,IR-4(3),SA-8(16),SA-8(19),SA-8(21),SA-8(24),SI-13,SI-17} | Cyber-safe mode is an operating mode of a spacecraft during which all nonessential systems are shut down and the spacecraft is placed in a known good state using validated software and configuration settings. Within cyber-safe mode authentication and encryption should still be enabled. The spacecraft should be capable of reconstituting firmware and SW functions to preattack levels to allow for the recovery of functional capabilities. This can be performed by self-healing, or the healing can be aided from the ground. However, the spacecraft needs to have the capability to replan, based on available equipment still available after a cyberattack. The goal is for the vehicle to resume full mission operations. If not possible, a reduced level of mission capability should be achieved. |
| SPR-29 | The [spacecraft] shall enter cyber-safe mode software/configuration should be stored onboard the spacecraft in memory with hardware-based controls and should not be modifiable.{CP-10(6),CP-13,SA-8(16),SA-8(19),SA-8(21),SA-8(24),SI-17} | |
| SPR-30 | The [spacecraft] shall fail to a known secure state for failures during initialization, and aborts preserving information necessary to return to operations in failure.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-10(6),CP-13,SA-8(16),SA-8(19),SA-8(24),SC-24,SI-13,SI-17} | |
| SPR-31 | The [spacecraft] shall fail securely to a secondary device in the event of an operational failure of a primary boundary protection device (i.e., crypto solution).{SV-AC-1,SV-AC-2,SV-CF-1,SV-CF-2}{CP-13,SA-8(19),SA-8(24),SC-7(18),SI-13,SI-13(4)} | If a primary boundary protection device fails, the spacecraft must not revert to insecure operation. Secure failover ensures continuity of confidentiality and integrity protections. This prevents adversaries from inducing failure states to bypass encryption. Redundancy strengthens mission resilience. |
| SPR-32 | The [spacecraft] shall provide or support the capability for recovery and reconstitution to a known state after a disruption, compromise, or failure.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-4(4),CP-10,CP-10(4),CP-10(6),CP-13,IR-4,IR-4(1),SA-8(16),SA-8(19),SA-8(24)} | |
| SPR-33 | The [spacecraft] shall utilize TRANSEC. TRANSEC shall be implemented and verified as a distinct layer in coordination with Traffic Flow Security and RF anti‑fingerprinting.{SV-AV-1}{CP-8,RA-5(4),SA-8(18),SA-8(19),SC-8(1),SC-8(4),SC-16,SC-16(1),SC-16(2),SC-16(3),SC-40,SC-40(4)} | Transmission Security (TRANSEC) is used to ensure the availability of transmissions and limit intelligence collection from the transmissions. TRANSEC is secured through burst encoding, frequency hopping, or spread spectrum methods where the required pseudorandom sequence generation is controlled by a cryptographic algorithm and key. Such keys are known as transmission security keys (TSK). The objectives of transmission security are low probability of interception (LPI), low probability of detection (LPD), and antijam which means resistance to jamming (EPM or ECCM). |
| SPR-34 | The [spacecraft] shall recover to a known cyber-safe state when an anomaly is detected.{IR-4,IR-4(1),SA-8(16),SA-8(19),SA-8(21),SA-8(24),SI-3,SI-4(7),SI-10(6),SI-13,SI-17} | |
| SPR-35 | The [spacecraft] shall perform an orderly, controlled system shut-down to a known cyber-safe state upon receipt of a termination command or condition.{PE-11,PE-11(1),SA-8(16),SA-8(19),SA-8(24),SI-17} | |
| SPR-36 | The [spacecraft] shall operate securely in off-nominal power conditions, including loss of power and spurious power transients.{SV-AV-6,SV-MA-2}{PE-11,PE-11(1),SA-8(16),SA-8(19),SI-13,SI-17} | Power anomalies may induce undefined states exploitable by attackers. Cryptographic and security mechanisms must not degrade into insecure configurations during brownout or transient conditions. This mitigates fault-induced bypass attacks. Resilient operation preserves trust chain continuity. |
| SPR-37 | The [spacecraft] shall protect system components, associated data communications, and communication buses in accordance with: (i) national emissions and TEMPEST policies and procedures, and (ii) the security category or sensitivity of the transmitted information, and shall demonstrate compliance via pre‑launch TEMPEST‑like evaluation for co‑located payload configurations.{SV-CF-2,SV-MA-2}{PE-14,PE-19,PE-19(1),RA-5(4),SA-8(18),SA-8(19),SC-8(1)} | The measures taken to protect against compromising emanations must be in accordance with DODD S-5200.19, or superseding requirements. The concerns addressed by this control during operation are emanations leakage between multiple payloads within a single space platform, and between payloads and the bus. |
| SPR-38 | The [spacecraft] shall be designed so that it protects itself from information leakage due to electromagnetic signals emanations.{SV-CF-2,SV-MA-2}{PE-19,PE-19(1),RA-5(4),SA-8(19)} | This requirement applies if system components are being designed to address EMSEC and the measures taken to protect against compromising emanations must be in accordance with DODD S-5200.19, or superseding requirements. |
| SPR-39 | The [spacecraft] shall prevent unauthorized and unintended information transfer via shared system resources.{SV-AC-6}{PM-32,SA-8(2),SA-8(5),SA-8(6),SA-8(19),SC-2(2),SC-4} | Shared buses, memory, or peripherals can become covert channels. Controls must prevent unintended information propagation across shared infrastructure. This mitigates cross-partition leakage and data exfiltration. Shared resources must not undermine domain isolation. |
| SPR-40 | The [spacecraft] shall only use communication protocols that support encryption within the mission.{SV-AC-7,SV-CF-1,SV-CF-2}{SA-4(9),SA-8(18),SA-8(19),SC-40(4)} | Protocols lacking encryption create unavoidable exposure. Selecting encryption-capable protocols ensures confidentiality and integrity can be enforced mission-wide. This reduces risk from protocol downgrade attacks. |
| SPR-41 | The [spacecraft] shall maintain a separate execution domain for each executing process.{SV-AC-6}{SA-8(14),SA-8(19),SC-2(2),SC-7(21),SC-39,SI-3} | Process isolation prevents one compromised task from impacting others. Separate execution domains mitigate memory corruption and privilege escalation. This strengthens containment of malicious code. Deterministic isolation enhances both safety and cybersecurity. |
| SPR-42 | The [spacecraft] flight software shall not be able to tamper with the security policy or its enforcement mechanisms.{SV-AC-6}{SA-8(16),SA-8(19),SC-3,SC-7(13)} | Security enforcement must be independent of mission application logic. If FSW can alter policy, adversaries can disable protections post-compromise. This control preserves integrity of access controls and monitoring functions. Separation of enforcement from application reduces systemic risk. |
| SPR-43 | The [spacecraft] shall initialize the platform to a known safe state.{SA-8(19),SA-8(23),SA-8(24),SI-17} | |
| SPR-44 | The [spacecraft] shall maintain the confidentiality and integrity of information during preparation for transmission and during reception in accordance with [organization] provided encryption matrix.{SV-CF-1,SV-CF-2,SV-IT-2}{SA-8(19),SC-8,SC-8(1),SC-8(2),SC-8(3)} | * Preparation for transmission and during reception includes the aggregation, packing, and transformation options performed prior to transmission and the undoing of those operations that occur upon receipt. |
| SPR-45 | The [spacecraft] shall implement cryptographic mechanisms that achieve protection against the effects of intentional electromagnetic interference; verification evidence for EMI/EPM shall be distinct from EMSEC/TEMPEST, anti‑jam/anti‑spoof protections, and EMP/HANE hardness.{SV-AV-1,SV-IT-1}{SA-8(19),SC-8(1),SC-40,SC-40(1)} | Intentional electromagnetic interference may attempt to induce predictable faults or bypass protections. Cryptographic resilience ensures corrupted transmissions are rejected. Verification must distinguish EMI/EPM resilience from TEMPEST and anti-jam protections. This ensures integrity under hostile RF environments. |
| SPR-46 | The [spacecraft] shall monitor [Program‑defined telemetry points] for malicious commanding attempts and alert ground operators upon detection.{SV-AC-2,SV-IT-1,SV-DCO-1}{AC-17,AC-17(1),AC-17(10),AU-3(1),RA-10,SC-7,SC-16,SC-16(2),SC-16(3),SI-3(8),SI-4,SI-4(1),SI-4(13),SI-4(24),SI-4(25),SI-10(6)} | Telemetry-based detection enables identification of anomalous command patterns, replay attempts, and injection attacks. Early detection allows rapid containment before mission impact escalates. Onboard monitoring is critical when ground latency limits intervention. This supports proactive defense. |
| SPR-47 | The [spacecraft] shall implement relay and replay-resistant authentication mechanisms for establishing a remote connection.{SV-AC-1,SV-AC-2}{AC-3,IA-2(8),IA-2(9),SA-8(18),SC-8(1),SC-16(1),SC-16(2),SC-23(3),SC-40(4)} | Replay attacks can reuse valid command packets to manipulate spacecraft behavior. Freshness checks, nonces, and sequence enforcement prevent reuse of captured transmissions. Relay resistance mitigates man-in-the-middle exploitation. This protects command integrity over RF links. |
| SPR-48 | The [spacecraft] shall implement cryptographic mechanisms to protect the integrity of audit information and audit tools.{SV-DCO-1}{AU-9(3),RA-10,SC-8(1),SI-3,SI-3(10),SI-4(24)} | Audit logs are essential for attribution and forensic analysis. If adversaries can modify audit data, detection and recovery become unreliable. Cryptographic integrity protections preserve evidentiary value. |
| SPR-49 | The [spacecraft] shall implement cryptography for the indicated uses using the indicated protocols, algorithms, and mechanisms, in accordance with CNSSP 12 and applicable federal laws, Executive Orders, directives, policies, regulations, and standards.{IA-7,SC-8(1),SC-13,SI-12} | |
| SPR-50 | The [spacecraft] shall implement cryptographic mechanisms to protect the confidentiality and integrity of information during transmission unless otherwise protected by approved physical safeguards.{SV-AC-7}{SC-8,SC-8(1),SC-8(4),SI-7(6)} | Unprotected transmission exposes telemetry, commands, and state information to interception or manipulation. Cryptographic protections ensure authenticity and confidentiality across all communication paths. Physical safeguards alone are insufficient in contested environments. |
| SPR-51 | The [spacecraft] shall implement cryptographic mechanisms to protect message externals unless otherwise protected by alternative physical safeguards.{SV-AC-7}{SC-8(3)} | Message externals (headers, routing data, metadata, protocol identifiers) can reveal operational state, enable traffic analysis, or be manipulated to redirect or replay communications. Cryptographic protection prevents adversaries from exploiting metadata to infer spacecraft posture or inject malicious traffic. Even if payload content is encrypted, unprotected externals can enable protocol exploitation or session hijacking. Physical safeguards alone are insufficient in contested RF environments. |
| SPR-52 | The [spacecraft] shall limit the generation and storage of sensitive/critical mission or system information. Generation shall be done on-demand where possible, and the information shall be deleted immediately when no longer needed.{SV-CF-3,SV-CF-1}{SI-21} | Reducing the amount and lifetime of sensitive data directly reduces attack surface and exfiltration risk. On-demand generation limits exposure windows and minimizes residual data available for compromise. Immediate deletion prevents recovery via memory scraping, shared resource reuse, or post-compromise forensic harvesting by an adversary. Data minimization is a foundational secure-by-design principle in resource-constrained spacecraft. |
| SPR-53 | The [organization] shall employ automated tools that provide notification to ground operators upon discovering discrepancies during integrity verification.{CM-3(5),CM-6,IR-6,IR-6(2),SA-8(21),SC-51,SI-3,SI-4(7),SI-4(12),SI-4(24),SI-7(2)} | |
| SPR-54 | The [spacecraft] shall retain the capability to update/upgrade operating systems while on-orbit.{SV-SP-7}{SA-4(5),SA-8(8),SA-8(31),SA-10(2),SI-3} | The operating system updates should be performed using multi-factor authorization and should only be performed when risk of compromise/exploitation of identified vulnerability outweighs the risk of not performing the update. |
| SPR-55 | The [spacecraft] shall provide cyber threat status to the ground segment for the Defensive Cyber Operations team, per the governing specification.{SV-DCO-1}{IR-5,PM-16,PM-16(1),RA-3(3),RA-10,SI-4,SI-4(1),SI-4(24),SI-7(7)} | The future space enterprises will include full-time Cyber Defense teams supporting space mission systems. Their work is currently focused on the ground segment but may eventually require specific data from the space segment for their successful operation. This requirement is a placeholder to ensure that any DCO-related requirements are taken into consideration for this document. |
| SPR-56 | The [spacecraft] shall provide automated onboard mechanisms that integrate audit review, analysis, and reporting processes to support mission processes for investigation and response to suspicious activities to determine the attack class in the event of a cyber attack.{SV-DCO-1}{AU-6(1),IR-4,IR-4(1),IR-4(12),IR-4(13),PM-16(1),RA-10,SA-8(21),SA-8(22),SC-5(3),SI-3,SI-3(10),SI-4(7),SI-4(24),SI-7(7)} | * Identifying the class (e.g., exfiltration, Trojans, etc.), nature, or effect of cyberattack (e.g., exfiltration, subverted control, or mission interruption) is necessary to determine the type of response. The first order of identification may be to determine whether the event is an attack or a non-threat event (anomaly). The objective requirement would be to predict the impact of the detected signature. * Unexpected conditions can include RF lockups, loss of lock, failure to acquire an expected contact and unexpected reports of acquisition, unusual AGC and ACS control excursions, unforeseen actuator enabling's or actions, thermal stresses, power aberrations, failure to authenticate, software or counter resets, etc. Mitigation might include additional TMONs, more detailed AGC and PLL thresholds to alert operators, auto-capturing state snapshot images in memory when unexpected conditions occur, signal spectra measurements, and expanded default diagnostic telemetry modes to help in identifying and resolving anomalous conditions. |
| SPR-57 | The [spacecraft] shall monitor and collect all onboard cyber- data (from multiple system components), including identification of potential attacks and information about the attack for subsequent analysis.{SV-DCO-1}{AC-6(9),AC-20,AC-20(1),AU-2,AU-12,IR-4,IR-4(1),RA-10,SI-3,SI-3(10),SI-4,SI-4(1),SI-4(2),SI-4(7),SI-4(24)} | The spacecraft will monitor and collect data that provides accountability of activity occurring onboard the spacecraft. Due to resource limitations on the spacecraft, analysis must be performed to determine which data is critical for retention and which can be filtered. Full system coverage of data and actions is desired as an objective; it will likely be impractical due to the resource limitations. “Cyber-relevant data” refers to all data and actions deemed necessary to support accountability and awareness of onboard cyber activities for the mission. This would include data that may indicate abnormal activities, critical configuration parameters, transmissions on onboard networks, command logging, or other such data items. This set of data items should be identified early in the system requirements and design phase. Cyber-relevant data should support the ability to assess whether abnormal events are unintended anomalies or actual cyber threats. Actual cyber threats may rarely or never occur, but non-threat anomalies occur regularly. The ability to filter out cyber threats for non-cyber threats in relevant time would provide a needed capability. Examples could include successful and unsuccessful attempts to access, modify, or delete privileges, security objects, security levels, or categories of information (e.g., classification levels). |
| SPR-58 | The [spacecraft] shall generate cyber related audit records containing information that establishes what type of event occurred, when the event occurred, where the event occurred, the source of the event, and the outcome of the event. For privileged or hazardous commands, the audit record shall include the approver identifiers and the command identifier.{SV-DCO-1}{AU-3,AU-3(1),AU-12,IR-4,IR-4(1),RA-10,SI-3,SI-3(10),SI-4(7),SI-4(24)} | Detailed audit records are essential for attribution, anomaly detection, and post-incident forensic reconstruction. Capturing what occurred, when, where, and by whom enables rapid differentiation between system fault and adversarial activity. Including approver identifiers for privileged or hazardous commands strengthens accountability and insider threat mitigation. Without complete audit context, recovery and containment decisions may be delayed or misinformed. |
| SPR-59 | The [spacecraft] shall attribute cyber attacks and identify unauthorized use of the platform by downlinking onboard cyber information to the mission ground station within [Program‑defined time ≤ 3 minutes].{SV-DCO-1,SV-IT-1,SV-IT-2}{AU-4(1),IR-4,IR-4(1),IR-4(12),IR-4(13),RA-10,SA-8(22),SI-3,SI-3(10),SI-4,SI-4(5),SI-4(7),SI-4(12),SI-4(24)} | Rapid transmission of cyber-relevant telemetry supports near-real-time ground-based fusion and correlation with enterprise security events. Delayed reporting increases risk of adversary persistence or mission degradation. Early attribution enables containment actions before cascading effects occur. Defined timeliness ensures detection capability aligns with operational tempo. |
| SPR-60 | The [spacecraft] shall integrate cyber related detection and responses with existing fault management capabilities to ensure tight integration between traditional fault management and cyber intrusion detection and prevention.{SV-DCO-1}{AU-6(4),IR-4,IR-4(1),RA-10,SA-8(21),SA-8(26),SC-3(4),SI-3,SI-3(10),SI-4(7),SI-4(13),SI-4(16),SI-4(24),SI-4(25),SI-7(7),SI-13} | The onboard IPS system should be integrated into the existing onboard spacecraft fault management system (FMS) because the FMS has its own fault detection and response system built in. SV corrective behavior is usually limited to automated fault responses and ground commanded recovery actions. Intrusion prevention and response methods will inform resilient cybersecurity design. These methods enable detected threat activity to trigger defensive responses and resilient SV recovery. |
| SPR-61 | The [spacecraft] shall protect information obtained from logging/intrusion-monitoring from unauthorized access, modification, and deletion.{SV-DCO-1}{AU-9,AU-9(3),RA-10,SI-4(7),SI-4(24)} | Monitoring data is a high-value target for attackers seeking to evade detection or erase traces of compromise. Protecting log integrity preserves evidentiary value and detection continuity. Unauthorized modification or deletion could mask malicious behavior or delay response. Cryptographic protection and access controls ensure monitoring mechanisms cannot be silently disabled. |
| SPR-62 | The [spacecraft] shall enter a cyber-safe mode when conditions that threaten the platform are detected, enters a cyber-safe mode of operation with restrictions as defined based on the cyber-safe mode.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-10(6),CP-12,CP-13,IR-4,IR-4(1),IR-4(3),PE-10,RA-10,SA-8(16),SA-8(21),SA-8(24),SI-3,SI-4(7),SI-13,SI-17} | Cyber-safe mode provides a deterministic fallback posture when compromise or anomalous conditions threaten mission integrity. Restricting non-essential functions reduces attack surface and prevents further propagation of malicious activity. Defined restrictions ensure predictable behavior under cyber stress conditions. This supports survivability and controlled recovery rather than uncontrolled degradation. |
| SPR-63 | The [spacecraft] shall be able to locate the onboard origin of a cyber attack and alert ground operators within [Program‑defined time ≤ 3 minutes].{SV-DCO-1}{IR-4,IR-4(1),IR-4(12),IR-4(13),RA-10,SA-8(22),SI-3,SI-3(10),SI-4,SI-4(1),SI-4(7),SI-4(12),SI-4(16),SI-4(24)} | The origin of any attack onboard the vehicle should be identifiable to support mitigation. At the very least, attacks from critical element (safety-critical or higher-attack surface) components should be locatable quickly so that timely action can occur. |
| SPR-64 | The [spacecraft] shall detect and deny unauthorized outgoing communications posing a threat to the spacecraft.{SV-DCO-1}{IR-4,IR-4(1),RA-5(4),RA-10,SC-7(9),SC-7(10),SI-4,SI-4(1),SI-4(4),SI-4(7),SI-4(11),SI-4(13),SI-4(24),SI-4(25)} | Outbound communications may indicate data exfiltration, covert channels, or compromised subsystem behavior. Monitoring and blocking unauthorized egress prevents leakage of mission data or cryptographic material. Many attacks rely on command-and-control or data extraction channels; egress control disrupts this persistence mechanism. Outbound traffic should be as tightly controlled as inbound command paths. |
| SPR-65 | The [spacecraft] shall select and execute safe countermeasures against cyber attacks prior to entering cyber-safe mode.{SV-DCO-1}{IR-4,RA-10,SA-8(21),SA-8(24),SI-4(7),SI-17} | These countermeasures are a ready supply of options to triage against the specific types of attack and mission priorities. Minimally, the response should ensure vehicle safety and continued operations. Ideally, the goal is to trap the threat, convince the threat that it is successful, and trace and track the attacker exquisitely—with or without ground aiding. This would support successful attribution and evolving countermeasures to mitigate the threat in the future. “Safe countermeasures” are those that are compatible with the system’s fault management system to avoid unintended effects or fratricide on the system." These countermeasures are likely executed prior to entering into a cyber-safe mode. |
| SPR-66 | The [spacecraft] shall be designed and configured so that encrypted communications traffic and data is visible to on-board security monitoring tools.{SV-DCO-1}{RA-10,SA-8(21),SI-3,SI-3(10),SI-4,SI-4(1),SI-4(10),SI-4(13),SI-4(24),SI-4(25)} | Encryption must not blind onboard intrusion detection capabilities. Security tools require access to sufficient context (pre-encryption or post-decryption inspection points) to detect malicious patterns. Without visibility, encrypted channels become covert channels. Proper architectural placement ensures both confidentiality and detectability are preserved. |
| SPR-67 | The [spacecraft] shall be designed and configured so that spacecraft memory can be monitored by the on-board intrusion detection/prevention capability.{SV-DCO-1}{RA-10,SA-8(21),SI-3,SI-3(10),SI-4,SI-4(1),SI-4(24),SI-16} | Many spacecraft attacks target memory corruption, firmware modification, or unauthorized process injection. Monitoring memory state enables detection of tampering, abnormal writes, or execution anomalies. Memory visibility supports early detection of wiper malware or boot-level compromise. This is essential for protecting deterministic flight software environments. |
| SPR-68 | The [spacecraft] shall have on-board intrusion detection/prevention system that monitors the mission critical components or systems.{SV-AC-1,SV-AC-2,SV-MA-4}{RA-10,SC-7,SI-3,SI-3(8),SI-4,SI-4(1),SI-4(7),SI-4(13),SI-4(24),SI-4(25),SI-10(6)} | The mission critical components or systems could be GNC/Attitude Control, C&DH, TT&C, Fault Management. |
| SPR-69 | The [spacecraft] shall alert in the event of the audit/logging processing failures.{SV-DCO-1}{AU-5,AU-5(1),AU-5(2),SI-3,SI-4,SI-4(1),SI-4(7),SI-4(12),SI-4(24)} | Failure of logging mechanisms may signal active tampering or resource exhaustion attacks. Immediate alerting ensures loss of visibility does not go unnoticed. Silent failure of audit systems creates blind spots exploitable by adversaries. Monitoring the monitors is critical to resilient detection. |
| SPR-70 | The [spacecraft] shall provide an alert immediately to [at a minimum the mission director, administrators, and security officers] when the following failure events occur: [minimally but not limited to: auditing software/hardware errors; failures in the audit capturing mechanisms; and audit storage capacity reaching 95%, 99%, and 100%] of allocated capacity, including security component failover events; alerts shall include component identity, time, and fault reason.{SV-DCO-1}{AU-5,AU-5(1),AU-5(2),SI-4,SI-4(1),SI-4(7),SI-4(12),SI-4(24),SI-7(7)} | Intent is to have human on the ground be alerted to failures. This can be decomposed to SV to generate telemetry and to Ground to alert. |
| SPR-71 | The [spacecraft] shall provide the capability of a cyber “black-box” to capture necessary data for cyber forensics of threat signatures and anomaly resolution when cyber attacks are detected. The [spacecraft] shall automatically route audit events to the alternate audit logging capability upon primary audit failure and shall resynchronize the alternate store to the primary upon recovery.{SV-DCO-1}{AU-5(5),AU-9(2),AU-9(3),AU-12,IR-4(12),IR-4(13),IR-5(1),SI-3,SI-3(10),SI-4,SI-4(1),SI-4(7),SI-4(24),SI-7(7)} | Similar concept of a "black box" on an aircraft where all critical information is stored for post forensic analysis. Black box can be used to record CPU utilization, GNC physical parameters, audit records, memory contents, TT&C data points, etc. The timeframe is dependent upon implementation but needs to meet the intent of the requirement. For example, 30 days may suffice. |
| SPR-72 | The [spacecraft] shall automatically notify ground operators when onboard integrity verification detects discrepancies.{SV-IT-2}{CM-3(5),SA-8(21),SI-3,SI-4(7),SI-4(12),SI-4(24),SI-7(2),SI-7(12)} | Integrity check failures may indicate unauthorized modification, corruption, or hardware faults induced by malicious activity. Automatic notification ensures ground teams can rapidly assess risk and initiate recovery procedures. Delay in reporting increases mission impact. Transparency between onboard detection and ground response is essential for coordinated defense. |
| SPR-73 | The [spacecraft], upon detection of a potential integrity violation, shall provide the capability to [audit the event and alert ground operators].{SV-DCO-1}{CM-3(5),SA-8(21),SI-3,SI-4(7),SI-4(12),SI-4(24),SI-7(8)} | One example would be for bad commands where the system would reject the command and not increment the Vehicle Command Counter (VCC) and include the information in telemetry. |
| SPR-74 | The [organization] shall define the security safeguards that are to be automatically employed when integrity violations are discovered.{SV-IT-2}{CP-2,SA-8(21),SI-3,SI-4(7),SI-4(12),SI-7(5),SI-7(8)} | Predefined safeguards ensure consistent and timely response to detected integrity violations. Ad hoc response increases uncertainty and recovery time. Automated actions may include isolation, reconstitution from gold images, or transition to cyber-safe mode. Defined response paths improve resilience and reduce operator burden during crisis. |
| SPR-77 | The [spacecraft] shall employ the principle of least privilege, allowing only authorized accesses processes which are necessary to accomplish assigned tasks in accordance with system functions.{SV-AC-6}{AC-3,AC-6,AC-6(9),CA-9,CM-5,CM-5(5),CM-5(6),SA-8(2),SA-8(5),SA-8(6),SA-8(14),SA-8(23),SA-17(7),SC-2,SC-7(29),SC-32,SC-32(1),SI-3} | Least privilege limits damage from compromised processes or insider misuse. Processes receive only the minimum access necessary for assigned functions. This reduces lateral movement and privilege escalation pathways. In deterministic spacecraft systems, privilege boundaries must be tightly defined and enforced. |
| SPR-78 | The [spacecraft] shall provide independent mission/cyber critical threads such that any one credible event will not corrupt another mission/cyber critical thread.{SV-AC-6,SV-MA-3,SV-SP-7}{SC-3,SC-32,SC-32(1),SI-3,SI-13} | Segregating mission-critical and cyber-critical execution paths prevents a single failure or compromise from corrupting other critical functions. Thread independence supports fault containment and resilience under attack. This ensures availability of essential functions even during partial compromise. Isolation strengthens both safety and cybersecurity. |
| SPR-81 | The [spacecraft] shall perform an integrity check of software, firmware, and information at startup or during security- events.{SV-IT-3,SV-SP-7,SV-SP-3}{CM-3(5),SA-8(9),SA-8(11),SA-8(21),SI-3,SI-7(1),SI-7(10),SI-7(12),SI-7(17)} | Startup integrity checks detect boot-level compromise or unauthorized modification. Event-triggered checks provide additional protection when anomalies occur. This limits adversary persistence across reboots. Continuous validation reinforces trusted boot regimes. |
| SPR-88 | The [spacecraft] shall detect and recover from detected memory errors or transitions to a known cyber-safe state.{SV-IT-4,SV-AV-6}{IR-4,IR-4(1),SA-8(16),SA-8(24),SI-3,SI-4(7),SI-10(6),SI-13,SI-17} | Memory corruption may result from radiation, fault injection, or malicious manipulation. Detection prevents silent data corruption from propagating to mission-critical functions. Recovery mechanisms or safe-state transitions preserve availability. Rapid containment supports mission survivability. |
| SPR-91 | The [spacecraft] shall prevent the installation of Flight Software without verification that the component has been digitally signed.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-9}{CM-3,CM-3(8),CM-5,CM-5(3),CM-14,SA-8(8),SA-8(31),SA-10(2),SI-3,SI-7(12),SI-7(15)} | Requiring digital signature verification before installing flight software prevents unauthorized, malicious, or tampered code from being introduced into the spacecraft environment. Software supply chain compromise is a high-impact attack vector that can result in persistent control or loss of mission. Cryptographic validation ensures only approved and trusted binaries are executed. This maintains integrity of the trusted computing baseline. |
| SPR-92 | The [spacecraft] shall verify the correct operation of security- software and hardware mechanisms.{SV-DCO-1}{SA-8(21),SI-3,SI-6} | Security controls that fail silently create false confidence and blind spots. Continuous or periodic verification ensures cryptographic modules, access controls, logging mechanisms, and monitoring functions remain operational. Attackers often attempt to disable protections prior to executing malicious actions. Independent health checks preserve detection and enforcement reliability. |
| SPR-107 | The [spacecraft] shall have multiple uplink paths {SV-AV-1}{CP-8,CP-11,SA-8(18),SC-5,SC-47} | Redundant uplink paths preserve command capability during jamming, interference, or subsystem failure. Availability is a core mission assurance objective. Diverse communication channels reduce single-point failure risk. This enhances resiliency in contested RF environments. |
| SPR-227 | The [organization] shall identify all locations (including ground and contractor systems) that store or process sensitive system information.{SV-CF-3,SV-SP-4,SV-SP-10}{AC-3(11),CM-12} | Space system sensitive information can include a wide range of candidate material: functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of link segment protections subject to disabling/bypassing, failure/anomaly resolution, and any other sensitive information related to architecture, software, and mission operations. |
| SPR-228 | The [organization] shall identify sensitive mission data (e.g.CPI) and document the specific on-board components on which the information is processed and stored.{SV-MA-4,SV-CF-3}{AC-3(11),CM-12} | Space system sensitive information can include a wide range of candidate material: functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of link segment protections subject to disabling/bypassing, failure/anomaly resolution, and any other sensitive information related to architecture, software, and mission operations. |
| SPR-229 | The [organization] shall protect documentation and Controlled Unclassified Information (CUI) as required, in accordance with the risk management strategy.{SV-CF-3,SV-SP-4,SV-SP-10}{AC-3,CM-12,CP-2,PM-17,RA-5(4),SA-3,SA-3(1),SA-5,SA-10,SC-8(1),SC-28(3),SI-12} | Documentation may reveal architecture details exploitable by adversaries. Proper handling prevents leakage. Protection of CUI supports regulatory compliance. Information governance complements technical controls. |
| SPR-230 | The [organization] shall identify and properly classify mission sensitive design/operations information and access control shall be applied in accordance with classification guides and applicable federal laws, Executive Orders, directives, policies, regulations, and standards.{SV-CF-3,SV-AV-5}{AC-3,CM-12,CP-2,PM-17,RA-5(4),SA-3,SA-3(1),SA-5,SA-8(19),SC-8(1),SC-28(3),SI-12} | * Mission sensitive information should be classified as Controlled Unclassified Information (CUI) or formally known as Sensitive but Unclassified. Ideally these artifacts would be rated SECRET or higher and stored on classified networks. Mission sensitive information can typically include a wide range of candidate material: the functional and performance specifications, the RF ICDs, databases, scripts, simulation and rehearsal results/reports, descriptions of uplink protection including any disabling/bypass features, failure/anomaly resolution, and any other sensitive information related to architecture, software, and flight/ground /mission operations. This could all need protection at the appropriate level (e.g., unclassified, SBU, classified, etc.) to mitigate levels of cyber intrusions that may be conducted against the project’s networks. Stand-alone systems and/or separate database encryption may be needed with controlled access and on-going Configuration Management to ensure changes in command procedures and critical database areas are tracked, controlled, and fully tested to avoid loss of science or the entire mission. |
| SPR-231 | The [organization] shall distribute documentation to only personnel with defined roles and a need to know.{SV-CF-3,SV-AV-5}{CM-12,CP-2,SA-5,SA-10} | Least privilege and need to know should be employed with the protection of all documentation. Documentation can contain sensitive information that can aid in vulnerability discovery, detection, and exploitation. For example, command dictionaries for ground and space systems should be handles with extreme care. Additionally, design documents for missions contain many key elements that if compromised could aid in an attacker successfully exploiting the system. |
| SPR-232 | The [organization] shall conduct a criticality analysis to identify mission critical functions and critical components and reduce the vulnerability of such functions and components through secure system design.{SV-SP-3,SV-SP-4,SV-AV-7,SV-MA-4}{CP-2,CP-2(8),PL-7,PM-11,PM-30(1),RA-3(1),RA-9,SA-8(9),SA-8(11),SA-8(25),SA-12,SA-14,SA-15(3),SC-7(29),SR-1} | During SCRM, criticality analysis will aid in determining supply chain risk. For mission critical functions/components, extra scrutiny must be applied to ensure supply chain is secured. |
| SPR-233 | The [organization] shall identify the applicable physical and environmental protection policies covering the development environment and spacecraft hardware. {SV-SP-4,SV-SP-5,SV-SP-10}{PE-1,PE-14,SA-3,SA-3(1),SA-10(3)} | Development environments must be protected from tampering. Physical controls prevent hardware supply chain compromise. Policy clarity ensures consistent safeguards. Secure development underpins secure deployment. |
| SPR-234 | The [organization] shall develop and document program-specific identification and authentication policies for accessing the development environment and spacecraft. {SV-SP-10,SV-AC-4}{AC-3,AC-14,IA-1,SA-3,SA-3(1)} | Strong authentication prevents unauthorized development access. Development compromise can introduce malicious code. Documented policies ensure consistent enforcement. Identity governance supports supply chain integrity. |
| SPR-235 | The [organization] shall ensure security requirements/configurations are placed in accordance with NIST 800-171 with enhancements in 800-172 on the development environments to prevent the compromise of source code from supply chain or information leakage perspective.{SV-SP-4,SV-SP-10,SV-CF-3}{AC-3,SA-3,SA-3(1),SA-15} | Supply chain threats target development environments. Enhanced controls reduce risk of source code exfiltration. Compliance strengthens contractual and regulatory assurance. Development security directly impacts spacecraft integrity. |
| SPR-236 | The [organization] shall implement a verifiable flaw remediation process into the developmental and operational configuration management process.{SV-SP-1,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-2,CA-5,SA-3,SA-3(1),SA-11,SI-3,SI-3(10)} | The verifiable process should also include a cross reference to mission objectives and impact statements. Understanding the flaws discovered and how they correlate to mission objectives will aid in prioritization. |
| SPR-237 | The [organization] shall establish robust procedures and technical methods to perform testing to include adversarial testing (i.e.abuse cases) of the platform hardware and software.{SV-SP-2,SV-SP-1}{CA-8,CP-4(5),RA-5,RA-5(1),RA-5(2),SA-3,SA-4(3),SA-11,SA-11(1),SA-11(2),SA-11(5),SA-11(7),SA-11(8),SA-15(7)} | Abuse-case testing reveals design weaknesses before deployment. Red-teaming strengthens defensive posture. Proactive validation reduces operational risk. Testing must simulate realistic threat scenarios. |
| SPR-238 | The [organization] shall require subcontractors developing information system components or providing information system services (as appropriate) to demonstrate the use of a system development life cycle that includes [state-of-the-practice system/security engineering methods, software development methods, testing/evaluation/validation techniques, and quality control processes].{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-9}{SA-3,SA-4(3)} | Select the particular subcontractors, software vendors, and manufacturers based on the criticality analysis performed for the Program Protection Plan and the criticality of the components that they supply. Examples of good security practices would be using defense-in-depth tactics across the board, least-privilege being implemented, two factor authentication everywhere possible, using DevSecOps, implementing and validating adherence to secure coding standards, performing static code analysis, component/origin analysis for open source, fuzzing/dynamic analysis with abuse cases, etc. |
| SPR-239 | The [organization] shall approve, document, and control the use of operational data in preproduction environments (i.e., development, I&T, etc.).{SV-CF-3,SV-SP-10}{SA-3(2)} | Operational data in test environments increases exposure risk. Controlled handling prevents unintended leakage. Proper governance reduces insider and supply chain risk. Sensitive data must be protected at all lifecycle stages. |
| SPR-240 | The [organization] shall categorize/classify preproduction environments (i.e., development, I&T, etc.) at the same level as any operational data in use within the environment and protect the system consistent with its categorization/classification.{SV-SP-10,SV-SP-4}{SA-3(2)} | Development systems often become attack vectors. Equal classification ensures consistent safeguards. Protection must reflect data sensitivity. Weak dev security undermines operational integrity. |
| SPR-241 | The [organization] shall require the developer of the system, system component, or system services to identify organizational data that will be processed or stored on non-organizational systems.{SV-CF-3,SV-SP-6}{SA-4(12)} | Awareness of data location prevents uncontrolled exposure. Third-party systems may lack equivalent security. Explicit identification enables mitigation. Data governance strengthens risk management. |
| SPR-242 | The [organization] shall require the developer of the system, system component, or system services to remove all organizational data from contractor system(s) when no longer needed for development purposes or whenever instructed by the organization.{SV-CF-3}{SA-4(12),SI-21} | Residual data increases breach impact. Timely removal reduces exposure. Lifecycle data hygiene is critical. Controlled offboarding prevents persistence of sensitive information. |
| SPR-243 | The [organization] shall protect documentation and Essential Elements of Information (EEI) as required, in accordance with the risk management strategy.{SV-CF-3,SV-AV-5}{SA-5} | Essential Elements of Information (EEI): |
| SPR-244 | The [organization] shall define the secure communication protocols to be used within the mission in accordance with applicable federal laws, Executive Orders, directives, policies, regulations, and standards.{SV-AC-7,SV-CF-1}{PL-7,RA-5(4),SA-4(9),SA-8(18),SA-8(19),SC-8(1),SC-16(3),SC-40(4),SI-12} | Standardized secure protocols reduce interoperability risk. Alignment with federal standards ensures validated cryptography. Defined protocols prevent ad hoc insecure implementations. Governance strengthens communication assurance. |
| SPR-245 | The [organization] shall define processes and procedures to be followed when integrity verification tools detect unauthorized changes to software, firmware, and information.{SV-IT-2}{CM-3,CM-3(1),CM-3(5),CM-5(6),CM-6,CP-2,IR-6,IR-6(2),PM-30,SC-16(1),SC-51,SI-3,SI-4(7),SI-4(24),SI-7,SI-7(7),SI-7(10)} | Predefined response procedures reduce reaction time. Clear escalation paths improve containment. Consistent handling prevents confusion during incidents. Preparedness strengthens resilience. |
| SPR-246 | The [organization] shall ensure that all Electrical, Electronic, Electro-mechanical & Electro-optical (EEEE) and mechanical piece parts procured from the Original Component Manufacturer (OCM) or their authorized distribution network.{SA-8(9),SA-8(11),SA-12,SA-12(1),SC-16(1),SR-1,SR-5} | |
| SPR-247 | The [organization] shall develop policies and procedures to ensure proper care is taken when disposing of sensitive data, documentation, or system components throughout the entire mission lifecycle.{SV-CF-3,SV-SP-4}{SR-12} | Improper disposal may expose system details. Lifecycle security includes end-of-life handling. Secure destruction prevents reconstruction or reverse engineering. Governance extends beyond operations. |
| SPR-248 | The [organization] shall employ Operations Security (OPSEC) safeguards to protect supply chain-related information for the system, system components, or system services. {CP-2(8),PM-30,SA-12(9),SC-38,SR-7} | Supply chain information can reveal vulnerabilities. OPSEC reduces adversary intelligence gathering. Controlled disclosure minimizes targeting risk. Information discipline strengthens strategic defense. |
| SPR-249 | The [organization] shall employ [Program-defined Operations Security (OPSEC) safeguards] to protect supply chain-related information for the system, system components, or system services.{SV-SP-3,SV-SP-4,SV-AV-7,SV-SP-11}{CP-2(8),PM-30,SA-12(9),SC-38,SR-7} | OPSEC safeguards may include: (1) Limiting the disclosure of information needed to design, develop, test, produce, deliver, and support the element for example, supplier identities, supplier processes, potential suppliers, security requirements, design specifications, testing and evaluation result, and system/component configurations, including the use of direct shipping, blind buys, etc.; (2) Extending supply chain awareness, education, and training for suppliers, intermediate users, and end users; (3) Extending the range of OPSEC tactics, techniques, and procedures to potential suppliers, contracted suppliers, or sub-prime contractor tier of suppliers; and (4) Using centralized support and maintenance services to minimize direct interactions between end users and original suppliers. |
| SPR-250 | The [organization] shall verify that the scope of security testing/evaluation provides complete coverage of required security controls (to include abuse cases and penetration testing) at the depth of testing defined in the test documents.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-2,CA-8,RA-5(3),SA-11(5),SA-11(7)} | * The frequency of testing should be driven by Program completion events and updates. * Examples of approaches are static analyses, dynamic analyses, binary analysis, or a hybrid of the three approaches |
| SPR-251 | The [organization] shall maintain evidence of the execution of the security assessment plan and the results of the security testing/evaluation.{SV-SP-1,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-2,CA-8,SA-11} | Documented evidence provides traceability and accountability for security testing activities. Without retained artifacts, organizations cannot demonstrate due diligence or validate corrective actions. Preserved results support audits, mission reviews, and lessons learned. This strengthens governance and compliance posture. |
| SPR-252 | The [organization] shall create and implement a security assessment plan that includes: (1) The types of analyses, testing, evaluation, and reviews of all software and firmware components; (2) The degree of rigor to be applied to include abuse cases and/or penetration testing; and (3) The types of artifacts produced during those processes.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-2,CA-8,SA-11,SA-11(5)} | The security assessment plan should include evaluation of mission objectives in relation to the security of the mission. Assessments should not only be control based but also functional based to ensure mission is resilient against failures of controls. |
| SPR-254 | The [organization] shall employ dynamic analysis (e.g.using simulation, penetration testing, fuzzing, etc.) to identify software/firmware weaknesses and vulnerabilities in developed and incorporated code (open source, commercial, or third-party developed code).{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-8,CM-10(1),RA-3(1),SA-11(5),SA-11(8),SA-11(9),SI-3,SI-7(10)} | Dynamic testing uncovers runtime vulnerabilities not visible through static review. Techniques such as fuzzing and penetration testing simulate realistic adversarial behavior. Runtime validation improves detection of memory corruption, logic flaws, and unsafe state transitions. This reduces latent vulnerabilities prior to deployment. |
| SPR-255 | The [organization] shall employ independent third-party analysis and penetration testing of all software (COTS, FOSS, Custom) associated with the system, system components, or system services.{SV-SP-1,SV-SP-3,SV-SP-6}{CA-2,CA-2(1),CA-8(1),CM-10(1),SA-9,SA-11(3),SA-12(11),SI-3,SI-3(10),SR-4(4),SR-6(1)} | Independent assessment reduces bias and uncovers blind spots in internal reviews. External testers provide objective validation of system resilience. Independent penetration testing strengthens confidence in defensive posture. Separation of duties enhances credibility and assurance. |
| SPR-257 | The [organization] shall analyze changes to the spacecraft to determine potential security impacts prior to change implementation.{SV-MA-6,SV-SP-9}{CM-4,CM-3,CM-3(2),CM-3(7),CM-4(2),SA-10} | Changes to spacecraft configuration may introduce unintended vulnerabilities. Pre-implementation impact analysis prevents security regression. Structured review ensures modifications align with risk tolerance. Change control supports mission assurance. |
| SPR-259 | The [organization] shall develop an incident response and forensics plan that covers the spacecrafts.{SV-MA-5}{CP-2,IR-1,IR-3,IR-3(2),IR-4(12),IR-4(13),IR-8,SA-15(10),SI-4(24)} | A structured response plan enables coordinated containment and recovery. Forensics planning ensures evidence preservation. Defined procedures reduce confusion during crisis. Incident readiness enhances resilience. |
| SPR-262 | The [organization] includes security awareness training on recognizing and reporting potential indicators of insider threat.{SV-AC-4}{AT-2(2),IR-4(6),IR-6,IR-6(2),PM-16} | Authorized users present significant risk vectors. Awareness training improves detection of anomalous behavior. Early reporting reduces insider dwell time. Human vigilance complements technical controls. |
| SPR-263 | The [organization] shall provide training to its personnel on how to identify and respond to malicious code indicators to include but not limited to indicators of potentially malicious code in flight software, indicators from development machine’s anti-virus/anti-malware software of potential malicious code, and to recognize suspicious communications and anomalous behavior in [organization] information systems.{SV-SP-3,SV-SP-10}{AT-3(4),IR-6,IR-6(2),SI-4(24)} | Personnel must recognize signs of compromised flight or development systems. Early detection prevents propagation into mission assets. Training strengthens defense across lifecycle stages. Awareness reduces supply chain exposure. |
| SPR-265 | The [organization] shall report identified systems or system components containing software affected by recently announced cybersecurity-related software flaws (and potential vulnerabilities resulting from those flaws) to [organization] officials with cybersecurity responsibilities.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-11}{IR-6,IR-6(2),SI-2,SI-3,SI-4(12),SR-4(4)} | Rapid reporting of vulnerable components enables proactive remediation. Awareness of newly disclosed flaws prevents exploitation. Coordination ensures mission-wide response. Visibility reduces systemic risk. |
| SPR-266 | The [organization] shall determine the vulnerabilities/weaknesses that require remediation, and coordinate the timeline for that remediation, in accordance with the analysis of the vulnerability scan report, the mission assessment of risk, and mission needs.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-5,CM-3,RA-5,RA-7,SI-3,SI-3(10)} | Not all vulnerabilities carry equal mission impact. Risk-informed prioritization ensures critical flaws are addressed first. Coordinated timelines balance mission needs with security posture. Structured remediation strengthens governance. |
| SPR-267 | The [organization] shall perform software component analysis (a.k.a.origin analysis) for developed or acquired software.{SV-SP-4,SV-SP-6}{CM-10,CM-10(1),RA-3(1),RA-5,SA-15(7),SI-3,SI-3(10),SR-4(4)} | Origin analysis identifies embedded third-party libraries and dependencies. Transparency reduces supply chain opacity. Knowing component lineage enables targeted vulnerability tracking. This mitigates inherited risk. |
| SPR-268 | The [organization] shall share information obtained from the vulnerability scanning process and security control assessments with [Program-defined personnel or roles] to help eliminate similar vulnerabilities in other systems (i.e., systemic weaknesses or deficiencies).{SV-SP-1}{RA-5} | Sharing scan results prevents repeated weaknesses across systems. Enterprise/Mission visibility reduces systemic vulnerabilities. Collaborative learning enhances resilience. Cross-program transparency strengthens collective defense. |
| SPR-269 | The [organization] shall ensure that the vulnerability scanning tools (e.g., static analysis and/or component analysis tools) used include the capability to readily update the list of potential information system vulnerabilities to be scanned.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-5,RA-5(1),RA-5(3),SI-3} | Threat landscapes evolve rapidly. Regular tool updates ensure detection coverage remains current. Outdated signatures create blind spots. Continuous improvement sustains effectiveness. |
| SPR-270 | The [organization] shall perform vulnerability analysis and risk assessment of all systems and software. The analysis shall include results from hardware‑in‑the‑loop vulnerability scanning of flight software, firmware, and link‑segment interfaces.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-5,RA-5(3),SA-15(7),SI-3} | Integrated hardware-in-the-loop testing identifies operationally relevant weaknesses. Combined software, firmware, and interface scanning provides holistic coverage. Risk assessment ensures mitigation aligns with mission priorities. End-to-end analysis strengthens assurance. |
| SPR-271 | The [organization] shall ensure that vulnerability scanning tools and techniques are employed that facilitate interoperability among tools and automate parts of the vulnerability management process by using standards for: (1) Enumerating platforms, custom software flaws, and improper configurations; (2) Formatting checklists and test procedures; and (3) Measuring vulnerability impact. Scanning shall cover flight software, firmware, and link‑segment interfaces in hardware‑in‑the‑loop environments.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-5,RA-5(3),SI-3} | Component/Origin scanning looks for open-source libraries/software that may be included into the baseline and looks for known vulnerabilities and open-source license violations. |
| SPR-272 | The [organization] shall perform static binary analysis of all firmware that is utilized on the spacecraft.{SV-SP-7,SV-SP-11}{RA-5,SA-10,SA-11,SI-7(10)} | Many commercial products/parts are utilized within the system and should be analyzed for security weaknesses. Blindly accepting the firmware is free of weakness is unacceptable for high assurance missions. The intent is to not blindly accept firmware from unknown sources and assume it is secure. This is meant to apply to firmware the vendors are not developing internally. In-house developed firmware should be going through the vendor's own testing program and have high assurance it is secure. When utilizing firmware from other sources, "expecting" does not meet this requirement. Each supplier needs to provide evidence to support that claim that their firmware they are getting is genuine and secure. |
| SPR-273 | The [organization] shall perform static source code analysis for all available source code looking for [[organization]-defined Top CWE List] weaknesses using complimentary set of static code analysis tools (i.e.more than one).{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-5,SA-11(1),SA-15(7)} | Static analysis detects coding weaknesses before execution. Using multiple tools increases detection coverage. Alignment with defined CWE priorities ensures focus on high-risk flaws. Early detection reduces downstream remediation cost. |
| SPR-274 | The [organization] shall analyze vulnerability/weakness scan reports and results from security control assessments.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-5,SI-3} | Scan results require expert interpretation to avoid false positives or overlooked risks. Structured analysis ensures meaningful remediation. Correlating findings with mission context refines prioritization. Review strengthens governance. |
| SPR-275 | The [organization] shall have automated means to evaluate adherence to coding standards.{SV-SP-1,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SA-15,SA-15(7),RA-5} | Manual review cannot scale across the code base; you must have a way to scale in order to confirm your coding standards are being met. The intent is for automated means to ensure code adheres to a coding standard. |
| SPR-276 | The [organization] shall perform component analysis (a.k.a.origin analysis) for developed or acquired software.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SA-15(7),RA-5} | |
| SPR-277 | In coordination with [organization], the [organization] shall prioritize and remediate flaws identified during security testing/evaluation.{SV-SP-1,SV-SP-3}{CA-2,CA-5,SA-11,SI-3,SI-3(10)} | Timely remediation reduces exploitation window. Coordination ensures mission continuity during patching. Documented prioritization demonstrates due diligence. Structured response enhances accountability. |
| SPR-278 | The [organization] shall correct flaws identified during security testing/evaluation.{SV-SP-1,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SA-11} | Flaws that impact the mission objectives should be prioritized. |
| SPR-279 | The [organization] shall perform [Selection (one or more): unit; integration; system; regression] testing/evaluation at [Program-defined depth and coverage].{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SA-11} | The depth needs to include functional testing as well as negative/abuse testing. |
| SPR-280 | The [organization] shall require the developer of the system, system component, or system service to deliver the system, component, or service with [Program-defined security configurations] implemented.{SV-SP-1,SV-SP-9}{SA-4(5)} | For the spacecraft FSW, the defined security configuration could include to ensure the software does not contain a pre-defined list of Common Weakness Enumerations (CWEs)and/or CAT I/II Application STIGs. |
| SPR-281 | The [organization] shall have an Insider Threat Program to aid in the detection and prevention of people with authorized access to perform malicious activities.{SV-AC-4}{AT-2(2),IR-4(6),IR-4(7),PM-12,PM-16} | Formal insider programs provide monitoring, reporting, and mitigation mechanisms. Behavioral analysis strengthens early detection. Structured governance reduces insider impact. Policy-backed programs improve deterrence. |
| SPR-282 | The [organization] shall use all-source intelligence analysis of suppliers and potential suppliers of the information system, system components, or system services to inform engineering, acquisition, and risk management decisions.{SV-SP-3,SV-SP-4,SV-AV-7,SV-SP-11}{PM-16,PM-30,RA-2,RA-3(1),RA-3(2),RA-7,SA-9,SA-12(8),SR-5(2)} | * The Program should also consider sub suppliers and potential sub suppliers. * All-source intelligence of suppliers that the organization may use includes: (1) Defense Intelligence Agency (DIA) Threat Assessment Center (TAC), the enterprise focal point for supplier threat assessments for the DOD acquisition community risks; (2) Other U.S. Government resources including: (a) Government Industry Data Exchange Program (GIDEP) – Database where government and industry can record issues with suppliers, including counterfeits; and (b) System for Award Management (SAM) – Database of companies that are barred from doing business with the US Government. |
| SPR-283 | The [organization] shall request threat analysis of suppliers of critical components and manage access to and control of threat analysis products containing U.S.person information.{SV-SP-3,SV-SP-4,SV-SP-11}{PM-16,PM-30(1),RA-3(1),SA-9,SA-12,SR-1} | The intent of this requirement is to address supply chain concerns on hardware and software vendors. Not required for trusted suppliers accredited to the Defense Microelectronic Activity (DMEA). If the Program intends to use a supplier not accredited by DMEA, the government customer should be notified as soon as possible. If the Program has internal processes to vet suppliers, it may meet this requirement. All software used and its origins must be included in the SBOM and be subjected to internal and Government vulnerability scans. |
| SPR-284 | The [organization] shall use all-source intelligence analysis on threats to mission critical capabilities and/or system components to inform risk management decisions.{SV-MA-4}{PM-16,RA-3(2),RA-3(3),RA-7,RA-9,SA-12(8),SA-15(8)} | Intelligence-informed risk management anticipates adversary capabilities. External threat awareness improves proactive defense. Integration into decision-making strengthens resilience. Threat-informed design reduces reactive posture. |
| SPR-285 | The [organization] risk assessment shall include the full end to end communication pathway (i.e., round trip) to include any crosslink communications.{SV-MA-4}{AC-20,AC-20(1),AC-20(3),RA-3,SA-8(18)} | Full pathway analysis prevents overlooking intermediate segments. Crosslinks may introduce lateral risk exposure. Round-trip evaluation strengthens confidentiality and integrity assurance. Holistic view reduces blind spots. |
| SPR-286 | The [organization] shall conduct an assessment of risk prior to each milestone review [SRR\PDR\CDR], including the likelihood and magnitude of harm, from the unauthorized access, use, disclosure, disruption, modification, or destruction of the platform and the information it processes, stores, or transmits.{SV-MA-4}{RA-2,RA-3,SA-8(25)} | Major design decisions must reflect updated threat posture. Pre-milestone risk review prevents costly redesign. Structured evaluation supports informed governance. Early risk integration enhances mission confidence. |
| SPR-287 | The [organization] shall document risk assessment results in [risk assessment report].{SV-MA-4}{RA-3} | Formal documentation preserves rationale for decisions. Traceability enables future reassessment. Written records support compliance. Documentation strengthens transparency. |
| SPR-288 | The [organization] shall review risk assessment results [At least annually if not otherwise defined in formal organizational policy].{SV-MA-4}{RA-3} | Periodic review ensures evolving threats are considered. Regular reassessment prevents stagnation. Continuous evaluation supports adaptive defense. Governance must be iterative. |
| SPR-289 | The [organization] shall update the risk assessment [At least annually if not otherwise defined in formal institutional policy] or whenever there are significant changes to the information system or environment of operation (including the identification of new threats and vulnerabilities), or other conditions that may impact the security state of the spacecraft.{SV-MA-4}{RA-3} | System modifications alter risk posture. Immediate reassessment ensures continued compliance. Responsive review strengthens mission assurance. Risk management must be dynamic. |
| SPR-290 | The [organization] shall document risk assessment results in risk assessment report upon completion of each risk assessment.{SV-MA-6}{RA-3,RA-7} | Formal documentation preserves rationale for decisions. Traceability enables future reassessment. Written records support compliance. Documentation strengthens transparency. |
| SPR-291 | The [organization] shall use the threat and vulnerability analyses of the as-built system, system components, or system services to inform and direct subsequent testing/evaluation of the as-built system, component, or service.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-3(3),SA-11(2),SA-15(8),SI-3} | Security analysis should guide test design. Threat-informed evaluation improves relevance. Feedback loops strengthen defensive posture. Analytical alignment enhances coverage. |
| SPR-295 | The [organization] shall perform and document threat and vulnerability analyses of the as-built system, system components, or system services.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SA-11(2),SI-3} | Formal records preserve findings and mitigation strategies. Documentation supports lifecycle traceability. Transparent records enhance oversight. Governance requires evidence. |
| SPR-299 | The [organization] shall develop, document, and maintain under configuration control, a current baseline configuration of the spacecrafts.{SV-SP-9,SV-MA-6}{CM-2,CM-3(7),CM-4(2),CM-6,SA-8(30),SA-10} | Configuration control ensures traceability of hardware and software states. Unauthorized changes undermine security posture. Accurate baselines enable recovery and audit. Governance depends on configuration integrity. |
| SPR-300 | The [organization] shall maintain the integrity of the mapping between the master build data (hardware drawings and software/firmware code) describing the current version of hardware, software, and firmware and the on-site master copy of the data for the current version.{SV-SP-4,SV-SP-9}{CM-6,SA-8(21),SA-8(30),SA-10,SA-10(3),SA-10(4),SA-10(5),SI-7(10),SR-4(4)} | Build data linkage ensures reproducibility and traceability. Tampering detection depends on accurate mapping. Integrity of master copies prevents unauthorized modification. Configuration discipline supports resilience. |
| SPR-301 | The [organization] shall develop a security plan for the spacecraft.{SV-MA-6}{PL-2,PL-7,PM-1,SA-8(29),SA-8(30)} | A comprehensive security plan aligns controls with mission objectives. Clear articulation ensures consistent implementation. Planning integrates security into operations. Formal documentation strengthens accountability. |
| SPR-302 | The [organization] shall document the platform's security architecture, and how it is established within and is an integrated part of the overall [organization] mission security architecture.{SV-MA-6,SV-MA-4}{PL-7,SA-8(7),SA-8(13),SA-8(29),SA-8(30),SA-17} | Architecture documentation provides structural clarity. Integration into enterprise mission security ensures alignment. Clear documentation reduces misinterpretation. Transparency strengthens lifecycle governance. |
| SPR-308 | The [organization] shall protect against supply chain threats to the system, system components, or system services by employing security safeguards as defined by NIST SP 800-161 Rev.1.{SV-SP-3,SV-SP-4,SV-AV-7,SV-SP-11}{PM-30,RA-3(1),SA-8(9),SA-8(11),SA-12,SI-3,SR-1} | The chosen supply chain safeguards should demonstrably support a comprehensive, defense-in-breadth information security strategy. Safeguards should include protections for both hardware and software. Program should define their critical components (HW & SW) and identify the supply chain protections, approach/posture/process. |
| SPR-320 | The [organization] shall develop and document program-specific configuration management policies and procedures for the hardware and software for the spacecraft. {SV-SP-9,SV-MA-6}{CM-1,CM-3,CM-5(6),SA-10,SA-10(3)} | Clear configuration governance prevents unauthorized modification. Policy-backed processes ensure consistency. Lifecycle control supports traceability. Managed change reduces mission risk. |
| SPR-323 | The [organization] prohibits the use of binary or machine-executable code from sources with limited or no warranty and without the provision of source code.{CM-7(8),CM-7(8),CM-10(1),SA-8(9),SA-8(11),SA-10(2),SI-3,SR-4(4)} | |
| SPR-328 | The [organization] shall ensure any update to on-board software, memory, or stored procedures has met high assurance standards before execution. {SV-SP-9,SV-SP-4}{AC-3(2),CM-3,SA-8(8),SA-8(31),SA-10(2),SR-4(4)} | On-orbit updates carry significant risk if not validated. High assurance standards prevent unauthorized or corrupted uploads from executing. Structured validation protects system integrity. Update governance reduces mission-ending configuration errors. |
| SPR-329 | The [organization] shall perform manual code review of all produced code looking for quality, maintainability, and security flaws.{SV-SP-1}{SA-11(4),SI-3,SI-3(10),SR-4(4)} | Automated tools may miss contextual or logic-based flaws. Manual review improves detection of subtle security weaknesses. Human analysis enhances code quality and maintainability. Combined approaches strengthen overall assurance. |
| SPR-331 | The [organization] shall test software and firmware updates related to flaw remediation for effectiveness and potential side effects on mission systems in a separate test environment before installation.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CM-3,CM-3(1),CM-3(2),CM-4(1),CM-4(2),CM-10(1),SA-8(31),SA-11(9),SI-2,SI-3,SI-3(10),SI-7(10),SI-7(12),SR-5(2)} | This requirement is focused on software and firmware flaws. If hardware flaw remediation is required, refine the requirement to make this clear. |
| SPR-337 | The [organization] shall ensure that the list of potential system vulnerabilities scanned is updated [prior to a new scan] {SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{RA-5(2),SI-3} | Outdated vulnerability signatures reduce detection capability. Updating scan definitions ensures coverage against emerging threats. Proactive updates prevent blind spots. Continuous refresh strengthens scanning effectiveness. |
| SPR-345 | The [organization] shall update the inventory of spacecraft components as an integral part of component installations, removals, and spacecraft updates.{SV-MA-4,SV-SP-4}{CM-8(1),CA-7,CM-2,CM-3} | Accurate inventory enables vulnerability tracking and incident response. Lifecycle updates prevent undocumented changes. Asset visibility strengthens security management. Configuration awareness reduces blind spots. |
| SPR-393 | The [organization] shall confirm that the operational spacecrafts correspond to the baseline configuration. {SV-SP-9,SV-SP-4}{CM-2,CM-3,CM-3(7),CM-4(2),CM-6,SA-10} | Configuration drift undermines trust and auditability. Confirming alignment ensures deployed assets reflect approved design. Baseline validation supports recovery and compliance. Continuous verification reduces unknown risk. |
| SPR-397 | The [organization] shall create prioritized list of software weakness classes (e.g., Common Weakness Enumerations) to be used during static code analysis for prioritization of static analysis results.{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SA-11(1),SA-15(7)} | The prioritized list of CWEs should be created considering operational environment, attack surface, etc. Results from the threat modeling and attack surface analysis should be used as inputs into the CWE prioritization process. There is also a CWSS (https://cwe.mitre.org/cwss/cwss_v1.0.1.html) process that can be used to prioritize CWEs. The prioritized list of CWEs can help with tools selection as well as you select tools based on their ability to detect certain high priority CWEs. |
| SPR-401 | The [organization] shall correct reported cybersecurity-related information system flaws.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SI-2} | * Although this requirement is stated to specifically apply to cybersecurity-related flaws, the Program office may choose to broaden it to all SV flaws. * This requirement is allocated to the Program, as it is presumed, they have the greatest knowledge of the components of the system and when identified flaws apply. |
| SPR-402 | The [organization] shall identify, report, and coordinate correction of cybersecurity-related information system flaws.{SV-SP-1,SV-SP-3,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{SI-2} | Centralized reporting ensures timely remediation. Coordinated correction prevents repeated exposure. Documentation strengthens audit traceability. Rapid flaw management reduces exploitation window. |
| SPR-435 | For FPGA pre-silicon artifacts that are developed, coded, and tested by a developer that is not accredited, the [organization] shall be subjected to a development environment and pre-silicon artifacts risk assessment by [organization]. Based on the results of the risk assessment, the [organization] may need to implement protective measures or other processes to ensure the integrity of the FPGA pre-silicon artifacts.{SV-SP-5}{SA-3,SA-3(1),SA-8(9),SA-8(11),SA-12,SA-12(1),SR-1,SR-5} | DOD-I-5200.44 requires the following: 4.c.2 “Control the quality, configuration, and security of software, firmware, hardware, and systems throughout their lifecycles... Employ protections that manage risk in the supply chain… (e.g., integrated circuits, field-programmable gate arrays (FPGA), printed circuit boards) when they are identifiable (to the supplier) as having a DOD end-use. “ 4.e “In applicable systems, integrated circuit-related products and services shall be procured from a Trusted supplier accredited by the Defense Microelectronics Activity (DMEA) when they are custom-designed, custommanufactured, or tailored for a specific DOD military end use (generally referred to as application-specific integrated circuits (ASIC)). “ 1.g “In coordination with the DOD CIO, the Director, Defense Intelligence Agency (DIA), and the Heads of the DOD Components, develop a strategy for managing risk in the supply chain for integrated circuit-related products and services (e.g., FPGAs, printed circuit boards) that are identifiable to the supplier as specifically created or modified for DOD (e.g., military temperature range, radiation hardened). |
| SPR-436 | The [organization] shall require the developer of the system, system component, or system services to demonstrate the use of a system development life cycle that includes [state-of-the-practice system/security engineering methods, software development methods, testing/evaluation/validation techniques, and quality control processes].{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-9}{SA-3,SA-4(3)} | Examples of good security practices would be using defense-in-depth tactics across the board, least-privilege being implemented, two factor authentication everywhere possible, using DevSecOps, implementing and validating adherence to secure coding standards, performing static code analysis, component/origin analysis for open source, fuzzing/dynamic analysis with abuse cases, etc. |
| SPR-437 | The [organization] shall enable integrity verification of software and firmware components.{SV-IT-2}{CM-3(5),CM-5(6),CM-10(1),SA-8(9),SA-8(11),SA-8(21),SA-10(1),SI-3,SI-4(24),SI-7,SI-7(10),SI-7(12),SR-4(4)} | * The integrity verification mechanisms may include: ** Stipulating and monitoring logical delivery of products and services, requiring downloading from approved, verification-enhanced sites; ** Encrypting elements (software, software patches, etc.) and supply chain process data in transit (motion) and at rest throughout delivery; ** Requiring suppliers to provide their elements “secure by default”, so that additional configuration is required to make the element insecure; ** Implementing software designs using programming languages and tools that reduce the likelihood of weaknesses; ** Implementing cryptographic hash verification; and ** Establishing performance and sub-element baseline for the system and system elements to help detect unauthorized tampering/modification during repairs/refurbishing. ** Stipulating and monitoring logical delivery of products and services, requiring downloading from approved, verification-enhanced sites; ** Encrypting elements (software, software patches, etc.) and supply chain process data in transit (motion) and at rest throughout delivery; ** Requiring suppliers to provide their elements “secure by default”, so that additional configuration is required to make the element insecure; ** Implementing software designs using programming languages and tools that reduce the likelihood of weaknesses; ** Implementing cryptographic hash verification; and ** Establishing performance and sub-element baseline for the system and system elements to help detect unauthorized tampering/modification during repairs/refurbishing. |
| SPR-450 | The [spacecraft] shall prevent flight software and payload applications from modifying access control labels or rules and shall validate label integrity at startup and during policy updates.{SV-AC-1,SV-IT-2}{AC-3(3),AC-3(11).AC-16,SI-7} | Label integrity ensures policy decisions remain trustworthy. Preventing modification protects data classification enforcement. Validation at startup prevents persistent compromise. Policy integrity underpins MAC assurance. |
| SPR-455 | The [spacecraft] shall restrict access to flight software executables, cryptographic material, command dictionaries, and [organization]-defined sensitive payload data to the privileged execution domain and shall deny all other access by default.{SV-AC-1,SV-AC-3,SV-IT-3}{AC-3(11),AC-6} | Flight executables and cryptographic materials are high-value targets. Restricting access reduces exploitation pathways. Default deny enforces least privilege. Segmentation enhances resilience. |
| SPR-456 | The [spacecraft] shall implement OS or hardware enforcement for these restrictions and shall log any attempted access violations.{SV-AC-1,SV-DCO-1}{AC-3,AC-3(11)} | Hardware-enforced policy is harder to bypass than software-only controls. Logging violations supports detection and response. Layered enforcement strengthens assurance. Technical barriers reinforce governance intent. |
| SPR-457 | The [spacecraft] shall verify cryptographic integrity and origin of data at each relay hop before forwarding information between internal components, payloads, crosslinks, and ground.{SV-IT-1,SV-IT-2,SV-AC-3}{CA-3(7),SC-8(1),SC-13,SC-23} | End-to-end security alone is insufficient in multi-hop spacecraft architectures. Verifying integrity and origin at each relay prevents compromised subsystems from forwarding malicious data laterally. Hop-by-hop validation limits propagation of injected commands or payload tampering. This enforces zero-trust principles internally. |
| SPR-472 | The [organization] shall define mission and business processes that map mission objectives to space-segment security requirements, including safe-mode criteria, secure uplink and downlink obligations, and recovery procedures, and shall baseline these processes under configuration control.{SV-MA-6,SV-AV-5}{PM-11,PL-2,CM-2} | Security must align with mission objectives. Explicit mapping ensures safe-mode criteria and communication obligations are controlled. Baseline governance prevents undocumented deviations. Integration supports mission assurance. |
| SPR-473 | The [organization] shall establish a threat awareness program that provides mission-relevant cyber and EW threat briefings and advisories to spacecraft engineering, integration, and operations personnel at an [organization]-defined frequency, and shall track completion.{SV-MA-6}{PM-16} | Continuous threat awareness informs engineering decisions. Structured briefings reduce blind spots. Tracking completion ensures accountability. Knowledge improves preparedness. |
| SPR-474 | The [organization] shall incorporate space cyber threat scenarios and mitigations into mission rehearsals and anomaly response training.{SV-MA-5,SV-AV-5}{PM-16,IR-2} | Realistic exercises validate preparedness. Embedding cyber threats in rehearsals strengthens operational readiness. Scenario-based training reduces reaction latency. Prepared teams enhance resilience. |
| SPR-475 | The [organization] shall implement automated mechanisms to ingest, validate, and distribute space-relevant threat intelligence to [organization]-defined recipients, and to format uplinkable indicators or signatures for onboard detection capabilities where applicable.{SV-DCO-1,SV-IT-1}{SI-5,PM-16(1)} | Timely ingestion and distribution of space-relevant intelligence reduces exposure. Formatting indicators for onboard use supports proactive detection. Automation accelerates defensive posture. Integration supports adaptive security. |
| SPR-478 | The [organization] shall map supplier failure impact to mission functions and assign risk-based oversight and acceptance criteria.{SV-SP-4,SV-MA-6}{PM-30(1),SR-2,RA-3} | Understanding supplier failure impact informs oversight priority. Risk-based criteria ensure proportional governance. Structured assessment prevents blind spots. Supply chain risk alignment strengthens mission resilience. |
| SPR-479 | The [organization] shall define, baseline, and maintain the purposing of the space platform and link segment, including intended objectives, authorized capabilities, prohibited functions, and operational constraints, and shall use this baseline to bound requirements, updates, and on-orbit operations.{SV-AC-8,SV-MA-6}{PM-32,PL-8} | Defining authorized and prohibited functions prevents scope creep. Clear purposing bounds updates and operational use. Governance limits misuse potential. Structured baseline supports disciplined operations. |
| SPR-481 | The [organization] shall define and document data ownership for mission data types across the space platform and link segment, including authority over classification, storage, retention, distribution, cross-domain transfer, and decommissioning.{SV-CF-3}{SA-4(12)} | Clear authority over mission data reduces ambiguity. Defined classification and retention policies prevent mishandling. Ownership governance strengthens accountability. Structured control supports compliance. |
| SPR-503 | The [organization] shall validate authenticity and integrity of all flight-designated hardware, firmware, and software upon receipt using program-controlled trust anchors (approved vendor list, golden hash/cert manifest){SV-SP-4,SV-SP-5}{SR-4(3),SR-11,SI-7} | Receipt validation prevents counterfeit or tampered parts integration. Program-controlled trust anchors ensure consistency. Early detection reduces downstream risk. Intake verification strengthens SCRM posture. |
| SPR-504 | The [organization] shall re-validate component identity (serial/lot), firmware measurements (cryptographic hashes), and certificate status immediately prior to installation, writing results to the SCRM/provenance ledger and blocking install on mismatch.{SV-SP-4,SV-SP-5}{SR-4(3),SR-11,SI-7} | Installation-time validation prevents stale or revoked components. Ledger recording strengthens traceability. Blocking on mismatch prevents compromise propagation. Continuous verification enhances assurance. |
| SPR-505 | The [spacecraft] shall cryptographically verify boot images and configurations at power-on and after any update{SV-IT-3,SV-SP-9}{SR-4(3),SI-7,CM-14} | Secure boot prevents execution of unauthorized code. Post-update verification ensures integrity continuity. Root-of-trust enforcement protects mission-critical logic. Deterministic startup strengthens resilience. |
| SPR-526 | The [organization] shall tie go/no‑go authorizations to verified artifacts (flatsat/twin results, signed images, key ceremonies) and define how authorization boundaries adjust under contingency conditions; evidence shall be captured for A&A.{SV-MA-6,SV-SP-9}{CA-1,PL-2,CM-3} | Flight decisions must rely on validated artifacts. Evidence capture strengthens compliance. Contingency adjustments must remain controlled. Governance alignment supports mission safety. |
| SPR-528 | The [organization] shall package each flight change (software, bitstreams, configuration tables) with a signed manifest, precondition checks (mode, power/thermal, link), explicit hold/commit points, and resumable procedures across AOS/LOS; the [spacecraft] shall enforce manifest checks prior to activation.{SV-SP-9,SV-IT-2}{CM-3,CM-3(2),SI-7,SA-10} | Manifest enforcement ensures integrity prior to activation. Precondition checks prevent unsafe changes. Resumable logic supports space contact constraints. Structured packaging strengthens update security. |
| SPR-529 | The [organization] shall define freeze windows around launch/maneuvers/high‑risk events, specify exception criteria and approvers, and require chunking, rate limits, checksum/signature gates, and telemetry cues that confirm final state when changes occur within a freeze.{SV-MA-6,SV-SP-9}{CM-3,CM-3(5),CM-5} | Operational stability requires disciplined change control. Freeze periods reduce compounding risk. Defined exceptions preserve agility. Structured boundaries protect mission safety. |
| SPR-530 | The [spacecraft] shall enable selected maintenance capabilities only within time‑bounded and mode‑bounded windows, audit enable/disable events, auto‑revert on timeout/reset, and expose enabled/disabled capability state in telemetry.{SV-AC-8,SV-AC-4}{CM-7,CM-7(2),SA-8,SA-8(14),AC-3} | Maintenance capabilities expand risk surface. Time-limited activation reduces abuse window. Telemetry exposure ensures oversight. Auto-revert strengthens containment. |
| SPR-531 | The [spacecraft] shall enforce whitelisting for executable images and mission scripts/procedures by ID, hash, or signature, accept only artifacts produced by the mission build pipeline, and constrain interpreters/macros to sandboxed contexts with provenance checks on inputs.{SV-SP-9,SV-SP-4}{CM-7,CM-7(5),CM-7(8),SI-7} | Accepting only pipeline-produced artifacts prevents unauthorized code execution. Hash/signature validation ensures integrity. Sandbox constraints limit interpreter abuse. Provenance enforcement strengthens defense. |
| SPR-537 | The [organization] shall define event‑driven triggers for rapid risk reassessment (e.g., new images/bitstreams, key rotations, partner‑station onboarding, notable anomalies, vendor advisories) and rehearse fast‑turn evaluations in a twin/flatsat to drive decisions within one or two passes.{SV-SP-6,SV-SP-9}{RA-3,RA-3(1),CA-7} | Triggers ensure timely re-evaluation after impactful events. Flatsat rehearsal validates mitigation feasibility. Rapid cycles align with limited contact windows. Structured agility strengthens mission defense. |
| SPR-547 | The [spacecraft] shall support chunked uploads of software/bitstreams/configuration with per‑chunk verification and commit markers, resumable across passes, with atomic activation and rollback if activation checks fail.{SV-SP-9,SV-IT-2}{SI-7,SI-7(15)} | Per-chunk verification prevents partial corruption. Atomic activation avoids inconsistent states. Rollback ensures safe recovery. Structured update logic strengthens resilience. |
| SPR-551 | The [organization] shall ensure end‑of‑life sanitization or destruction of boards/media that stored cryptographic material or mission data, render on‑orbit cryptographic material unrecoverable at decommissioning, and retain records proving disposal actions.{SV-SP-4}{SR-12,MP-6} | Residual crypto material poses long-term risk. Verified destruction prevents reuse or recovery. Documented disposal supports compliance. Lifecycle closure strengthens mission assurance. |