| ID | Name | Description | D3FEND | |
| CM0008 | Security Testing Results | As penetration testing and vulnerability scanning is a best practice, protecting the results from these tests and scans is equally important. These reports and results typically outline detailed vulnerabilities and how to exploit them. As with countermeasure CM0001, protecting sensitive information from disclosure to threat actors is imperative. | D3-AI D3-AVE | |
| CM0022 | Criticality Analysis | Conduct a criticality analysis to identify mission critical functions, critical components, and data flows and reduce the vulnerability of such functions and components through secure system design. Focus supply chain protection on the most critical components/functions. Leverage other countermeasures like segmentation and least privilege to protect the critical components. | D3-AVE D3-OSM D3-IDA D3-SJA D3-AI D3-DI D3-SWI D3-NNI D3-HCI D3-NM D3-PLM D3-AM D3-SYSM D3-SVCDM D3-SYSDM D3-SYSVA D3-OAM D3-ORA | |
| CM0041 | User Training | Train users to be aware of access or manipulation attempts by a threat actor to reduce the risk of successful spear phishing, social engineering, and other techniques that involve user interaction. Ensure that role-based security-related training is provided to personnel with assigned security roles and responsibilities: (i) before authorizing access to the information system or performing assigned duties; (ii) when required by information system changes; and (iii) at least annually if not otherwise defined. | D3-OAM D3-ORA | |
| CM0079 | Maneuverability | Satellite maneuver is an operational tactic that can be used by satellites fitted with chemical thrusters to avoid kinetic and some directed energy ASAT weapons. For unguided projectiles, a satellite can be commanded to move out of their trajectory to avoid impact. If the threat is a guided projectile, like most direct-ascent ASAT and co-orbital ASAT weapons, maneuver becomes more difficult and is only likely to be effective if the satellite can move beyond the view of the onboard sensors on the guided warhead.* *https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/210225_Harrison_Defense_Space.pdf?N2KWelzCz3hE3AaUUptSGMprDtBlBSQG | ||
| CM0081 | Defensive Jamming and Spoofing | A jammer or spoofer can be used to disrupt sensors on an incoming kinetic ASAT weapon so that it cannot steer itself effectively in the terminal phase of flight. When used in conjunction with maneuver, this could allow a satellite to effectively “dodge” a kinetic attack. Similar systems could also be used to deceive SDA sensors by altering the reflected radar signal to change the location, velocity, and number of satellites detected, much like digital radio frequency memory (DRFM) jammers used on many military aircraft today. A spacebased jammer can also be used to disrupt an adversary’s ability to communicate.* *https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/210225_Harrison_Defense_Space.pdf?N2KWelzCz3hE3AaUUptSGMprDtBlBSQGate with an ASAT weapon. | D3-DO | |
| CM0087 | Defensive Dazzling/Blinding | Laser systems can be used to dazzle or blind the optical or infrared sensors on an incoming ASAT weapon in the terminal phase of flight. This is similar to the laser infrared countermeasures used on aircraft to defeat heat-seeking missiles. Blinding an ASAT weapon’s guidance system and then maneuvering to a new position (if necessary) could allow a satellite to effectively “dodge” a kinetic attack. It could also be used to dazzle or blind the optical sensors on inspector satellites to prevent them from imaging a satellite that wants to keep its capabilities concealed or to frustrate adversary SDA efforts.* *https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/210225_Harrison_Defense_Space.pdf?N2KWelzCz3hE3AaUUptSGMprDtBlBSQG | ||
| CM0089 | Assessment & Authorization | The A&A process establishes the extent to which a particular design and implementation, meet a set of specified security requirements defined by the organization, government guidelines, and federal mandates into a formal authorization package. | ||
| CM0004 | Development Environment Security | In order to secure the development environment, the first step is understanding all the devices and people who interact with it. Maintain an accurate inventory of all people and assets that touch the development environment. Ensure strong multi-factor authentication is used across the development environment, especially for code repositories, as threat actors may attempt to sneak malicious code into software that's being built without being detected. Use zero-trust access controls to the code repositories where possible. For example, ensure the main branches in repositories are protected from injecting malicious code. A secure development environment requires change management, privilege management, auditing and in-depth monitoring across the environment. | D3-AI D3-AVE D3-SWI D3-HCI D3-NNI D3-OAM D3-AM D3-OM D3-DI D3-MFA D3-CH D3-OTP D3-BAN D3-PA D3- FAPA D3- DQSA D3-IBCA D3-PCSV D3-PSMD | |
| CM0005 | Ground-based Countermeasures | This countermeasure is focused on the protection of terrestrial assets like ground networks and development environments/contractor networks, etc. Traditional detection technologies and capabilities would be applicable here. Utilizing resources from NIST CSF to properly secure these environments using identify, protect, detect, recover, and respond is likely warranted. Additionally, NISTIR 8401 may provide resources as well since it was developed to focus on ground-based security for space systems (https://csrc.nist.gov/pubs/ir/8401/final). Furthermore, the MITRE ATT&CK framework provides IT focused TTPs and their mitigations https://attack.mitre.org/mitigations/enterprise/. Several recommended NIST 800-53 Rev5 controls are provided for reference when designing ground systems/networks. | Nearly all D3FEND Techniques apply to Ground | |
| 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-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-0008.03 | Known Vulnerabilities | Adversaries correlate discovered component and software versions with public and private vulnerability sources to assemble a ready exploit catalog. Inputs include CPE/CVE mappings, vendor advisories, CWE-class weaknesses common to selected RTOS/middleware, FPGA IP core errata, cryptographic library issues, and hardware stepping errata that interact with thermal/power regimes. They mine leaked documents, demo code, bug trackers, and community forums; pivot from ground assets to flight by following shared libraries and tooling; and watch for lag between disclosure and patch deployment. Even when a vulnerability seems “ground-only,” it may expose build systems or update paths that ultimately control flight artifacts. | |
| 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-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-0002.01 | Mission-Operated Ground System | Compromising a mission’s own ground system grants the adversary preconfigured access to TT&C and automation. High-value targets include operator workstations, mission control servers, procedure libraries, scheduler/orchestration services, key-loading tools and HSMs, antenna control systems, timing/distribution, and RF modems/baseband units. Typical paths: phishing an operator or contractor, abusing remote-support channels, pivoting from enterprise IT to ops, exploiting unpatched services on enclave gateways, or harvesting credentials from poorly segmented test environments. Once inside, an actor can stage malicious procedures, alter rate/size limits, manipulate pass schedules, downgrade authentication in maintenance modes, or quietly siphon telemetry and ephemerides to refine later attacks. | |
| RD-0002.02 | 3rd Party Ground System | Third-party networks (commercial ground stations, hosted modems, cloud-integrated ground-station services) present attractive stepping-stones: they already have vetted RF chains, globally distributed apertures, and trusted IP space. Adversaries may acquire customer credentials via phishing or purchase, exploit weak vetting to create front-company accounts, or compromise provider portals/APIs to submit schedules, alter front-end settings, or exfiltrate collected data. Because traffic originates from “expected” stations and ASN ranges, misuse blends into normal operations. Multi-tenant risks include configuration bleed-over and shared management planes. | |
| 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-0003.02 | 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). | |
| 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-0001.02 | 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-0004.01 | Ground Station | Threat actors may target the backup ground segment, standby MOC sites, alternate commercial stations, or contingency chains held in reserve. Threat actors establish presence on the backup path (operator accounts, scheduler/orchestration, modem profiles, antenna control) and then exploit moments when operations shift: planned exercises, maintenance at the primary site, weather diversions, or failover during anomalies. They may also shape conditions so traffic is re-routed, e.g., by saturating the primary’s RF front end or consuming its schedules, without revealing their involvement. Once on the backup, prepositioned procedures, macros, or configuration sets allow command injection, manipulation of pass timelines, or quiet collection of downlink telemetry. | |
| IA-0005 | Rendezvous & Proximity Operations | Adversaries may execute a sequence of orbital maneuvers to co-orbit and approach a target closely enough for local sensing, signaling, or physical interaction. Proximity yields advantages that are difficult to achieve from Earth: high signal-to-noise for interception, narrowly targeted interference or spoofing, observation of attitude/thermal behavior, and, if interfaces exist, opportunities for mechanical mating. The approach typically unfolds through phasing, far-field rendezvous, relative navigation (e.g., vision, lidar, crosslink cues), and closed-loop final approach. At close distances, an attacker can monitor side channels, stimulate acquisition beacons, test crosslinks, or prepare for contact operations (capture or docking). | |
| IA-0005.02 | Docked Vehicle / OSAM | Docking, berthing, or service capture during on-orbit servicing, assembly, and manufacturing (OSAM) creates a high-trust bridge between vehicles. Threat actors exploit this moment, either by pre-positioning code on a servicing vehicle or by manipulating ground updates to it, so that, once docked, lateral movement occurs across the mechanical/electrical interface. Interfaces may expose power and data umbilicals, standardized payload ports, or gateways into the target’s C&DH or payload networks (e.g., SpaceWire, Ethernet, 1553). Service tools that push firmware, load tables, transfer files, or share time/ephemeris become conduits for staged procedures or implants that execute under maintenance authority. Malware can be timed to activation triggers such as “link up,” “maintenance mode entered,” or specific device enumerations that only appear when docked. Because OSAM operations are scheduled and well-documented, the adversary can align preparation with published timelines, ensuring that the first point of execution coincides with the brief window when cross-vehicle trust is intentionally elevated. | |
| IA-0005.03 | Proximity Grappling | In this variant, the attacker employs a capture mechanism (robotic arm, grappling fixture, magnetic or mechanical coupler) to establish physical contact without full docking. Once grappled, covers can be manipulated, temporary umbilicals attached, or exposed test points engaged; if design provisions exist (service ports, checkout connectors, external debug pads), these become direct pathways to device programming interfaces (e.g., JTAG/SWD/UART), mass-storage access, or maintenance command sets. Grappling also enables precise attitude control relative to the target, allowing contact-based sensors to read buses inductively or capacitively, or to inject signals onto harness segments reachable from the exterior. Initial access arises when a maintenance or debug path, normally latent in flight, is electrically or logically completed by the grappled connection, allowing authentication-bypassing actions such as boot-mode strapping, image replacement, or scripted command ingress. The operation demands accurate geometry, approach constraints, and fixture knowledge, but yields a transient, high-privilege bridge tailored for short, decisive actions that leave minimal on-orbit RF signature. | |
| IA-0006 | Compromise Hosted Payload | Adversaries target hosted payloads as an alternate doorway into the host spacecraft. Hosted payloads often expose their own command sets, file services, and telemetry paths, sometimes via the host’s TT&C chain, sometimes through a parallel ground infrastructure under different operational control. Initial access arises when an attacker obtains the ability to issue payload commands, upload files, or alter memory/register state on the hosted unit. Because data and control must traverse an interface to the host bus (power, time, housekeeping, data routing, gateway processors), the payload–host boundary can also carry management functions: mode transitions, table loads, firmware updates, and cross-strapped links that appear only in maintenance or contingency modes. With knowledge of the interface specification and command dictionaries, a threat actor can activate rarely used modes, inject crafted data products, or trigger gateway behaviors that extend influence beyond the payload itself. In multi-tenant or commercial hosting arrangements, differences in keying, procedures, or scheduling between the payload operator and the bus operator provide additional opportunity for a first foothold that looks like routine payload commanding. | |
| 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-0007.02 | Malicious Commanding via Valid GS | Adversaries may use a compromised, mission-owned ground system to transmit legitimate-looking commands to the target spacecraft. Because the ground equipment is already configured for the mission, correct waveforms, framing, dictionaries, and scheduling, the attacker’s traffic blends with routine operations. Initial access unfolds by inserting commands or procedures into existing timelines, modifying rate/size limits or command queues, or invoking maintenance dictionaries and rapid-response workflows that accept broader command sets. Pre-positioned scripts can chain actions across multiple passes and stations, while telemetry routing provides immediate feedback to refine follow-on steps. Exfiltration can be embedded in standard downlink channels or forwarded through gateways as ordinary mission data. The distinguishing feature is that command origin appears valid, transmitted from approved apertures using expected parameters, so the first execution event is not a protocol anomaly but a misuse of legitimate command authority obtained through the compromised ground system. | |
| 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 or node, ground, maritime, airborne, or space-based, that can radiate or exchange traffic using mission-compatible waveforms, framing, or crosslink protocols. 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: syntactically valid telecommands, crafted ranging/acquisition exchanges, crosslink service advertisements, or payload/user-channel messages that bridge into the command/data path. | |
| IA-0008.01 | Rogue Ground Station | Adversaries may field their own ground system, transportable or fixed, to transmit and receive mission-compatible signals. A typical setup couples steerable apertures and GPS-disciplined timing with SDR/modems configured for the target’s bands, modulation/coding, framing, and beacon structure. Using pass schedules and Doppler/polarization predictions, the actor crafts over-the-air traffic that appears valid at the RF and protocol layers. | |
| IA-0008.02 | Rogue Spacecraft | Adversaries may employ their own satellite or hosted payload to achieve proximity and a privileged RF geometry. After phasing into the appropriate plane or drift orbit, the rogue vehicle operates as a local peer: emitting narrow-beam or crosslink-compatible signals, relaying user-channel traffic that the target will honor, or advertising services that appear to originate from a trusted neighbor. Close range reduces path loss and allows highly selective interactions, e.g., targeted spoofing of acquisition exchanges, presentation of crafted routing/time distribution messages, or injection of payload tasking that rides established inter-satellite protocols. The rogue platform can also perform spectrum and protocol reconnaissance in situ, refining message formats and timing before attempting first execution. | |
| 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-0009 | Trusted Relationship | Adversaries obtain first execution by riding connections that the mission already trusts, formal interconnections with partners, vendors, and user communities. Once a third party is compromised, the actor inherits that entity’s approved routes into mission enclaves: VPNs and jump hosts into ground networks, API keys into cloud tenants, automated file drops that feed command or update pipelines, and collaboration spaces where procedures and dictionaries circulate. Because traffic, credentials, and artifacts originate from known counterparts, the initial execution event can appear as a routine payload task, scheduled procedure, or software update promoted through established processes. | |
| IA-0009.01 | Mission Collaborator (academia, international, etc.) | Missions frequently depend on distributed teams, instrument builders at universities, science operations centers, and international partners, connected by data portals, shared repositories, and federated credentials. A compromise of a collaborator yields access to telescience networks, analysis pipelines, instrument commanding tools, and file exchanges that deliver ephemerides, calibration products, procedures, or configuration tables into mission workflows. Partners may operate their own ground elements or payload gateways under delegated authority, creating additional entry points whose authentication and logging differ from the prime’s. Initial access emerges when attacker-modified artifacts or commands traverse these sanctioned paths: a revised calibration script uploaded through a science portal, a configuration table promoted by a cross-org CI job, or a payload task submitted via a collaboration queue and forwarded by the prime as routine work. Variations in process rigor, identity proofing, and toolchains across institutions amplify the attacker’s options while preserving the appearance of legitimate partner activity. | |
| IA-0009.02 | Vendor | Vendors that design, integrate, or support mission systems often hold elevated, persistent routes into operations: remote administration of ground software and modems, access to identity providers and license servers, control of cloud-hosted services, and authority to deliver firmware, bitstreams, or patches. Attackers who compromise a vendor’s enterprise or build environment can assume these roles, issuing commands through approved consoles, queuing updates in provider-operated portals, or invoking maintenance procedures that the mission expects the vendor to perform. Some vendor pathways terminate directly on RF equipment or key-management infrastructure; others ride cross-account cloud roles or managed SaaS backends that handle mission data and scheduling. | |
| IA-0009.03 | User Segment | The “user segment” encompasses end users and their equipment that interact with mission services, SATCOM terminals, customer ground gateways, tasking portals, and downstream processing pipelines for delivered data. Where these environments interconnect with mission cores, a compromised user domain becomes a springboard. Attackers can inject malformed tasking requests that propagate into payload scheduling, craft user-plane messages that traverse gateways into control or management planes, or seed data products that flow back to mission processing systems and automation. In broadband constellations and hosted services, user terminals may share infrastructure with TT&C or provider management networks, creating opportunities to pivot from customer equipment into provider-run nodes that the spacecraft trusts. | |
| IA-0010 | Unauthorized Access During Safe-Mode | Adversaries time their first execution to coincide with safe-mode, when the vehicle prioritizes survival and recovery. In many designs, safe-mode reconfigures attitude, reduces payload activity, lowers data rates, and enables contingency dictionaries or maintenance procedures that are dormant in nominal operations. Authentication, rate/size limits, command interlocks, and anti-replay handling may differ; some implementations reset counters, relax timetag screening, accept broader command sets, or activate alternate receivers and beacons to improve commandability. Ground behavior also shifts: extended passes, emergency scheduling, and atypical station use create predictable windows. An attacker who understands these patterns can present syntactically valid traffic that aligns with safe-mode expectations, maintenance loads, recovery scripts, table edits, or reboot/patch sequences, so the first accepted action appears consistent with fault recovery rather than intrusion. | |
| IA-0012 | Assembly, Test, and Launch Operation Compromise | Assembly, Test, and Launch Operation (ATLO) concentrates people, tools, and authority while components first exchange real traffic across flight interfaces. Test controllers, EGSE, simulators, flatsats, loaders, and data recorders connect to the same buses and command paths that will exist on orbit. Threat actors exploit this density and dynamism: compromised laptops or transient cyber assets push images and tables; lab networks bridge otherwise separate enclaves; vendor support accounts move software between staging and flight hardware; and “golden” artifacts created or modified in ATLO propagate into the as-flown baseline. Malware can traverse shared storage and scripting environments, ride update/checklist execution, or piggyback on protocol translators and gateways used to stimulate subsystems. Because ATLO often introduces late firmware loads, key/counter initialization, configuration freezes, and full-system rehearsals, a single well-placed change can yield first execution on multiple devices and persist into LEOP. | |
| IA-0013 | Compromise Host Spacecraft | The inverse of "IA-0006: Compromise Hosted Payload", this technique describes adversaries that are targeting a hosted payload, the host space vehicle (SV) can serve as an initial access vector to compromise the payload through vulnerabilities in the SV's onboard systems, communication interfaces, or software. If the SV's command and control systems are exploited, an attacker could gain unauthorized access to the vehicle's internal network. Once inside, the attacker may laterally move to the hosted payload, particularly if it shares data buses, processors, or communication links with the vehicle. | |
| EX-0005 | Exploit Hardware/Firmware Corruption | The adversary achieves execution or effect by corrupting or steering behavior beneath the software stack, in device firmware, programmable logic, or the hardware itself. Examples include tampering with firmware images or configuration blobs burned into non-volatile memory; targeting MCU/SoC boot ROM fallbacks; editing FPGA bitstreams or partial-reconfiguration frames; or leveraging physical phenomena and timing to flip bits or skip checks. Because these actions occur below or alongside the operating system and application FSW, traditional endpoint safeguards see normal interfaces while trust anchors are already altered. | |
| EX-0005.01 | Design Flaws | Threat actors may exploit inherent properties or errata in the hardware/logic design rather than injecting new code. Levers include undocumented or weakly specified behaviors (scan chains, test modes, debug straps), counter/timer rollovers and wraparound, interrupt storms and priority inversions, MMU/TLB corner cases, DMA engines that can write outside intended buffers, and bus arbitration or clock-domain crossing issues that permit stale or reordered writes. RNGs and crypto accelerators with flawed seeding or side-channel leakage can expose secrets or enable predictable authentication values. In programmable logic, vulnerable state machines, insufficient reset paths, and hazardous partial-reconfiguration regions create opportunities to drive the design into privileged or undefined states. Even reliability features can be turned: hardware timers intended for liveness can be paced to starve control loops; ECC policies can be nudged so correction conceals attacker-induced drift. The common thread is using the platform’s own guarantees, timing, priority, persistence, or fault handling, to cause privileged behavior that the software stack accepts as “by design.” | |
| 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-0009.03 | 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-0011 | Exploit Reduced Protections During Safe-Mode | The adversary times on-board actions to the period when the vehicle is in safe-mode and operating with altered guardrails. In many designs, safe-mode enables contingency command dictionaries, activates alternate receivers or antennas, reduces data rates, and prioritizes survival behaviors (sun-pointing, thermal/power conservation). Authentication checks, anti-replay windows, rate/size limits, and interlocks may differ from nominal; counters can be reset, timetag screening relaxed, or maintenance procedures made available for recovery. Ground cadence also changes, longer passes, emergency scheduling, atypical station selection, creating predictable windows for interaction. Using knowledge of these patterns, an attacker issues maintenance-looking loads, recovery scripts, parameter edits, or boot/patch sequences that the spacecraft is primed to accept while safed. Because responses (telemetry beacons, acknowledgments, mode bits) resemble normal anomaly recovery, the first execution event blends with expected behavior, allowing unauthorized reconfiguration, software modification, or state manipulation to occur under the cover of fault response. | |
| EX-0016 | Jamming | Jamming is an electronic attack that uses radio frequency signals to interfere with communications. A jammer must operate in the same frequency band and within the field of view of the antenna it is targeting. Unlike physical attacks, jamming is completely reversible, once the jammer is disengaged, communications can be restored. 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.* Similiar to intentional jamming, accidential 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-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-0003 | Ground System Presence | The adversary maintains long-lived access by residing within mission ground infrastructure that already has end-to-end reach to the spacecraft. Persistence can exist in operator workstations and mission control software, schedulers/orchestrators, station control (antenna/mount, modem/baseband), automation scripts and procedure libraries, identity and ticketing systems, and cloud-hosted mission services. With this foothold, the actor can repeatedly queue commands, updates, or file transfers during routine passes; mirror legitimate operator behavior to blend in; and refresh their tooling as software is upgraded. Presence on the ground also supports durable reconnaissance (pass plans, dictionaries, key/counter states) and continuous staging so each window to the vehicle can be exploited without re-establishing access. | |
| 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-0002 | Disrupt or Deceive Downlink | Threat actors may target ground-side telemetry reception, processing, or display to disrupt the operator’s visibility into spacecraft health and activity. This may involve denial-based attacks that prevent the spacecraft from transmitting telemetry to the ground (e.g., disabling telemetry links or crashing telemetry software), or more subtle deception-based attacks that manipulate telemetry content to conceal unauthorized actions. Since telemetry is the primary method ground controllers rely on to monitor spacecraft status, any disruption or manipulation can delay or prevent detection of malicious activity, suppress automated or manual mitigations, or degrade trust in telemetry-based decision support systems. | |
| DE-0002.01 | Inhibit Ground System Functionality | Threat actors may utilize access to the ground system to inhibit its ability to accurately process, render, or interpret spacecraft telemetry, effectively leaving ground controllers unaware of the spacecraft’s true state or activity. This may involve traditional denial-based techniques, such as disabling telemetry software, corrupting processing pipelines, or crashing display interfaces. In addition, more subtle deception-based techniques may be used to falsify telemetry data within the ground system , such as modifying command counters, acknowledgments, housekeeping data, or sensor outputs , to provide the appearance of nominal operation. These actions can suppress alerts, mask unauthorized activity, or prevent both automated and manual mitigations from being initiated based on misleading ground-side information. Because telemetry is the primary method by which ground controllers monitor the health, behavior, and safety of the spacecraft, any disruption or falsification of this data directly undermines situational awareness and operational control. | |
| DE-0002.02 | Jam Link Signal | Threat actors may overwhelm/jam the downlink signal to prevent transmitted telemetry signals from reaching their destination without severe modification/interference, effectively leaving ground controllers unaware of vehicle activity during this time. Telemetry is the only method in which ground controllers can monitor the health and stability of the spacecraft while in orbit. By disabling this downlink, threat actors may be able to stop mitigations from taking place. | |
| DE-0004 | Masquerading | The adversary presents themselves as an authorized origin so activity appears legitimate across RF, protocol, and organizational boundaries. Techniques include crafting telecommand frames with correct headers, counters, and dictionaries; imitating station “fingerprints” such as Doppler, polarization, timing, and framing; replaying or emulating crosslink identities; and using insider-derived credentials or roles to operate mission tooling. Masquerading can also target metadata, virtual channel IDs, APIDs, source sequence counts, and facility identifiers, so logs and telemetry attribute actions to expected entities. The effect is that commands, file transfers, or configuration changes are processed as if they came from approved sources, reducing scrutiny and delaying detection. | |
| DE-0005 | Subvert Protections via Safe-Mode | The adversary exploits the spacecraft’s recovery posture to bypass controls that are stricter in nominal operations. During safe-mode, vehicles often accept contingency dictionaries, relax rate/size and timetag checks, activate alternate receivers or antennas, and emit reduced or summary telemetry. By timing actions to this state, or deliberately inducing it, the attacker issues maintenance-looking edits, loads, or mode changes that proceed under broadened acceptance while downlink visibility is thinned. Unauthorized activity blends with anomaly response, evading both automated safeguards and operator suspicion. | |
| DE-0009 | Camouflage, Concealment, and Decoys (CCD) | The adversary exploits the physical and operational environment to reduce detectability or to mislead observers. 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 environmental manipulation: shape what external sensors perceive so surveillance and attribution lag, misclassify, or look elsewhere. | |
| DE-0009.01 | Debris Field | The attacker co-orbits within or near clusters of small objects, matching apparent characteristics (brightness, RCS, tumbling, intermittent emissions) so the vehicle blends with background debris. Dormant periods with minimized attitude control and emissions further the illusion. This posture supports covert inspection, staging for a later intercept, or timing cyber-physical actions (e.g., propulsion or actuator manipulation) to coincide with passages through clutter, increasing the chance that damage or anomalies are attributed to debris strikes rather than deliberate activity. Maintenance of the disguise may involve small, infrequent maneuvers to keep relative motion consistent with “free” debris dynamics. | |
| DE-0009.04 | Targeted Deception of Onboard SSA/SDA Sensors | The attacker aims at the spacecraft’s own proximity-awareness stack, cameras, star-tracker side products, lidar/radar, RF transponders, and the onboard fusion that estimates nearby objects. Methods include optical dazzling or reflective camouflage that confuses centroiding and detection, RCS management to fall below radar gate thresholds, intermittent or misleading transponder replies, and presentation of spoofed fiducials or optical patterns tuned to the vehicle’s detection algorithms. By biasing these local sensors and their fusion logic, the adversary hides approach, distorts relative-state estimates, or induces the target to classify a nearby object as benign clutter, masking proximity operations without relying on external catalog errors. | |
| 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. | |
| DE-0012 | Component Collusion | This technique involves two or more compromised components operating in coordination to conceal malicious activity. Threat actors compromise multiple software modules during the supply chain process and design them to behave cooperatively. Each component independently performs only a limited, seemingly benign function, such that when analyzed in isolation, no single module appears malicious. An example of implementation involves one component acting as a trigger agent, waiting for specific mission or system conditions (e.g., GPS fix, telemetry state) and writing a signal to a shared resource (e.g., file, bus). A separate action agent monitors this resource and only executes the malicious behavior (such as data exfiltration or command injection) upon receiving the trigger. This division of responsibilities significantly undermines traditional detection techniques, such as log analysis, static code review, or heuristic-based behavior monitoring. | |
| LM-0001 | Hosted Payload | The adversary pivots through the host–payload boundary to reach additional subsystems. Hosted payloads exchange power, time, housekeeping, and data with the bus via defined gateways (e.g., SpaceWire, 1553, Ethernet) and often support file services, table loads, and command dictionaries distinct from the host’s. A foothold on the payload can be used to inject traffic through the gateway processor, request privileged services (time/ephemeris distribution, firmware loads), or ride shared backplanes where payload traffic is bridged into C&DH networks. In some designs, payload processes execute on host compute or expose maintenance modes that temporarily widen access, creating paths from the payload into attitude, power, storage, or recorder resources. The movement is transitive: compromise a co-resident unit, then traverse the trusted interface that already exists for mission operations. | |
| LM-0002 | Exploit Lack of Bus Segregation | On flat architectures, where remote terminals, subsystems, and payloads share a common bus with minimal partitioning, any node that can transmit may influence many others. An attacker leverages this by forging message IDs or terminal addresses, replaying actuator/sensor frames, seizing or imitating bus-controller roles, or abusing gateway bridges that forward traffic between links (e.g., 1553↔SpaceWire/CAN). Because consumers often act on the latest valid-looking message, crafted traffic from one compromised device can reconfigure peers, toggle power domains, or write persistent parameters. Weak role enforcement and broadcast semantics allow privilege escalation from a peripheral to effective system-wide influence, turning the shared medium into a highway for further compromise. | |
| 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-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-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-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-3 |
Introduction of malicious software such as a virus, worm, Distributed Denial-Of-Service (DDOS) agent, keylogger, rootkit, or Trojan Horse |
|
| 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-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-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-IT-1 |
Communications system spoofing resulting in denial of service and loss of availability and data integrity |
|
| 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-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-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-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 |
|
| SPARTA ID | Requirement | Rationale/Additional Guidance/Notes |
|---|---|---|
| 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-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-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-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-258 | The [organization] shall test the contingency plan, with special consideration for space operations, to determine the effectiveness of the plan and readiness to execute the plan.{SV-MA-5}{CP-4} | Contingency plans must be validated under realistic mission conditions. Testing confirms feasibility during communication latency or constrained power states. Exercises reveal gaps in readiness. Preparedness reduces recovery time during incidents. |
| 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-341 | The [organization] shall coordinate contingency plan development, and testing of the plan, with organizational elements responsible for related plans.{SV-MA-5}{CP-2(1),CP-4(1)} | Integrated contingency planning ensures no isolated failure points. Coordination with related plans improves operational continuity. Structured collaboration strengthens recovery effectiveness. Unified preparation reduces confusion during crisis. |
| SPR-376 | The [organization] shall implement an A&A process that establishes the extent to which a particular design and implementation meet a set of specified security requirements defined by the organization, government guidelines, and federal mandates.{SV-MA-6,SV-DCO-1}{CA-2} | Structured authorization ensures design compliance prior to deployment. Formal assessment reduces oversight gaps. Defined requirements provide measurable criteria. Governance supports mission confidence. |