Protect Sensitive Information

Organizations should look to identify and properly classify mission sensitive design/operations information (e.g., fault management approach) and apply access control accordingly. Any location (ground system, contractor networks, etc.) storing design information needs to ensure design info is protected from exposure, exfiltration, etc. Space system sensitive information may be classified as Controlled Unclassified Information (CUI) or Company Proprietary. Space system sensitive information can typically include a wide range of candidate material: the functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of uplink protection including any disabling/bypass features, failure/anomaly resolution, and any other sensitive information related to architecture, software, and flight/ground /mission operations. This could all need protection at the appropriate level (e.g., unclassified, CUI, proprietary, classified, etc.) to mitigate levels of cyber intrusions that may be conducted against the project’s networks. Stand-alone systems and/or separate database encryption may be needed with controlled access and on-going Configuration Management to ensure changes in command procedures and critical database areas are tracked, controlled, and fully tested to avoid loss of science or the entire mission. Sensitive documentation should only be accessed by personnel with defined roles and a need to know. Well established access controls (roles, encryption at rest and transit, etc.) and data loss prevention (DLP) technology are key countermeasures. The DLP should be configured for the specific data types in question.

NIST Rev5 Controls

D3FEND Techniques

D3FEND Artifacts

ISO 27001

NASA Best Practice Guide

ESA Space Shield Mitigation

Related MITRE EMB3D Mitigations

Related CSF 2.0

Related BSI Security Measures

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ID: CM0001

Tier: I

Onboard SV CM

Created: 2022/10/19

Last Modified: 2025/04/15

Techniques Addressed by Countermeasure

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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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).
	.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.
	.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.
	.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.
	.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.
	.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.
	.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.
	.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).
	.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.
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.
	.01	Software Dependencies & Development Tools	This technique targets what developers import and the tools that transform source into flight binaries. Methods include dependency confusion and typosquatting, poisoned container/base images, malicious IDE plugins, and compromised compilers, linkers, or build runners that subtly alter output. Because flight and ground stacks frequently reuse open-source RTOS components, crypto libraries, protocol parsers, and build scripts, an upstream change can deterministically reproduce a backdoor downstream. Attackers also seed private mirrors or caches so “trust-on-first-use” locks in tainted packages, or abuse CI secrets and environment variables to pivot further. Effects range from inserting covert handlers into command parsers, to weakening integrity checks in update paths, to embedding telemetry beacons that exfiltrate build metadata helpful for later stages.
	.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-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.
	.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.
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.
	.02	Software Backdoor	Software backdoors are code paths intentionally crafted or later inserted to provide privileged functionality on cue. In flight contexts, they appear as hidden command handlers, alternate authentication checks, special user/role constructs, or procedure/script hooks that accept nonpublic inputs. They can be embedded in flight applications, separation kernels or drivers, gateway processors that translate bus/payload traffic, or update/loader utilities that handle tables and images. SDR configurations offer another avenue: non-public waveforms, subcarriers, or framing profiles that, when selected, expose a private command channel. Activation is often conditional, specific timetags, geometry, message sequences, or file names, to keep the feature dormant during routine testing and operations. Once present, the backdoor provides a repeatable way to execute commands or modify state without traversing the standard control surfaces, sustaining the adversary’s access over time.
PER-0005		Credentialed Persistence	Threat actors may acquire or leverage valid credentials to maintain persistent access to a spacecraft or its supporting command and control (C2) systems. These credentials may include system service accounts, user accounts, maintenance access credentials, cryptographic keys, or other authentication mechanisms that enable continued entry without triggering access alarms. By operating with legitimate credentials, adversaries can sustain access over extended periods, evade detection, and facilitate follow-on tactics such as command execution, data exfiltration, or lateral movement. Credentialed persistence is particularly effective in environments lacking strong credential lifecycle management, segmentation, or monitoring allowing threat actors to exploit trusted pathways while remaining embedded in mission operations.
DE-0011		Credentialed Evasion	Threat actors may leverage valid credentials to conduct unauthorized actions against a spacecraft or related system in a way that conceals their presence and evades detection. By using trusted authentication mechanisms attackers can blend in with legitimate operations and avoid triggering access control alarms or anomaly detection systems. This technique enables evasion by appearing authorized, allowing adversaries to issue commands, access sensitive subsystems, or move laterally within spacecraft or constellation architectures without exploiting software vulnerabilities. When credential use is poorly segmented or monitored, this form of access can be used to maintain stealthy persistence or facilitate other tactics under the guise of legitimate activity.
LM-0007		Credentialed Traversal	Movement is achieved by reusing legitimate credentials and keys to cross boundaries that rely on trust rather than strict isolation. Using operator or service accounts, maintenance logins, station certificates, or spacecraft-recognized crypto, the adversary invokes gateways that bridge domains, C&DH to payload, crosslink routers to onboard networks, or constellation management planes to individual vehicles. Because the traversal occurs through approved interfaces (file services, table loaders, remote procedure calls, crosslink tasking), actions appear as routine operations while reaching progressively more privileged subsystems or neighboring spacecraft. Where roles and scopes are broad or reused, the same credential opens multiple enclaves, turning authorization itself into the lateral path.
EXF-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.

Space Threats Addressed by Countermeasure

ID	Description
SV-CF-2	Eavesdropping (RF and proximity)
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-AC-8	Malicious Use of hardware commands - backdoors / critical commands
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-CF-3	Knowledge of target satellite's cyber-related design details would be crucial to inform potential attacker - so threat is leaking of design data which is often stored Unclass or on contractors’ network
SV-MA-4	Not knowing what your crown jewels are and how to protect them now and in the future.
SV-SP-4	General supply chain interruption or manipulation

Sample Requirements

SPARTA ID	Requirement	Rationale/Additional Guidance/Notes
SPR-1	The [spacecraft] shall implement a reference monitor mechanism that mediates access between subjects and objects based on a defined set of rules, that is designed and configured to resist tampering or unauthorized alteration, providing a reliable and secure foundation for access control within the information system.{SV-AC-1,SV-AC-4,SV-SP-7}{AC-25}	A reference monitor provides the foundational enforcement point for all access control decisions within the spacecraft. Without a tamper-resistant mediation layer, compromised flight software or malicious code could directly access critical memory, processes, or hardware interfaces. The mechanism must be isolated from modifiable flight software to preserve integrity under adversarial conditions.
SPR-2	The [spacecraft] shall ensure that sensitive information can only be accessed by personnel with appropriate roles and an explicit need for such information to perform their duties.{SV-CF-3,SV-AC-4}{AC-3(11),CM-12}	Space system sensitive information can include a wide range of candidate material: functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of link segment protections subject to disabling/bypassing, failure/anomaly resolution, and any other sensitive information related to architecture, software, and mission operations.
SPR-3	The [spacecraft] shall enforce approved authorizations for controlling the flow of information within the platform and between interconnected systems so that information does not leave the platform boundary unless it is encrypted. Flow control shall be implemented in conjunction with protected processing domains, security‑policy filters with fully enumerated formats, and a default‑deny communications baseline.{SV-AC-6}{AC-3(3),AC-3(4),AC-4,AC-4(2),AC-4(6),AC-4(21),CA-3,CA-3(6),CA-3(7),CA-9,IA-9,SA-8(19),SC-8(1),SC-16(3)}	Spacecraft operate in constrained and deterministic environments where uncontrolled data flows can enable data exfiltration, cross-domain leakage, or lateral movement between subsystems. Enforcing approved authorizations with enumerated formats and a default-deny posture ensures only explicitly permitted communications occur. Encryption enforcement at platform boundaries prevents unauthorized disclosure of telemetry or state information.
SPR-4	The [spacecraft] security implementation shall ensure that information should not be allowed to flow between partitioned applications unless explicitly permitted by the system.{SV-AC-6,SV-MA-3,SV-SP-7}{AC-3(3),AC-3(4),AC-4,AC-4(6),AC-4(21),CA-9,IA-9,SA-8(3),SA-8(18),SA-8(19),SC-2(2),SC-7(29),SC-16,SC-32}	Strict partitioning prevents compromise of one application from cascading into mission-critical subsystems. Many spacecraft attacks exploit flat architectures where subsystems implicitly trust one another. Explicit inter-partition authorization limits lateral movement and privilege escalation. This supports containment and fault isolation under both cyber and fault conditions.
SPR-5	The [organization] shall state that information should not be allowed to flow between partitioned applications unless explicitly permitted by the Program's security policy.{SV-AC-6}{AC-4,AC-4(6)}	Technical enforcement must be anchored in formal policy to ensure consistency across development, integration, and operations. Codifying partition isolation requirements prevents mission creep and ad hoc exceptions that weaken domain separation. This establishes traceability between architecture design and security governance. It also ensures subcontractors and integrators apply consistent constraints.
SPR-6	The [spacecraft] shall utilize automated mechanisms to protect sensitive information and detect and alert when sensitive information is accessed without satisfying defined criteria.{SV-DCO-1,SV-AC-1}{CM-12(1)}	Manual monitoring is insufficient in time-sensitive, communication-limited spacecraft environments. Automated detection of unauthorized access enables rapid identification of insider misuse, malicious code execution, or policy violations. This supports onboard intrusion detection and timely ground awareness. The mechanism should differentiate anomaly from normal operational variance.
SPR-7	The [organization] shall document and design a security architecture using a defense-in-depth approach that allocates the [organization]s defined safeguards to the indicated locations and layers: [Examples include: operating system abstractions and hardware mechanisms to the separate processors in the platform, internal components, and the FSW].{SV-MA-6}{CA-9,PL-7,PL-8,PL-8(1),SA-8(3),SA-8(4),SA-8(7),SA-8(9),SA-8(11),SA-8(13),SA-8(19),SA-8(29),SA-8(30)}	Spacecraft security cannot rely on a single control; layered defenses reduce the likelihood of catastrophic compromise. Documenting safeguard allocation across hardware, OS, firmware, and FSW ensures coverage across attack surfaces. This supports resiliency against both cyber intrusion and supply chain weaknesses. Clear documentation enables verification and independent assessment.
SPR-8	The [organization] shall ensure that the allocated security safeguards operate in a coordinated and mutually reinforcing manner.{SV-MA-6}{CA-7(5),PL-7,PL-8(1),SA-8(19)}	Independent controls that operate in isolation may create security gaps or conflicting behaviors. Coordinated safeguards ensure that encryption, authentication, partitioning, and monitoring functions reinforce each other rather than undermine availability or safety. This reduces bypass risk and improves fault/cyber response integration. Cohesive operation is essential for resilient mission assurance.
SPR-9	The [organization] shall implement a security architecture and design that provides the required security functionality, allocates security controls among physical and logical components, and integrates individual security functions, mechanisms, and processes together to provide required security capabilities and a unified approach to protection.{SV-MA-6}{PL-7,SA-2,SA-8,SA-8(1),SA-8(2),SA-8(3),SA-8(4),SA-8(5),SA-8(6),SA-8(7),SA-8(9),SA-8(11),SA-8(13),SA-8(19),SA-8(29),SA-8(30),SC-32,SC-32(1)}	Security functionality must be intentionally distributed across physical and logical components rather than bolted on post-design. A unified architecture prevents inconsistent enforcement, duplicated controls, or unprotected interfaces. Integrated design reduces attack surface and improves verification of mission-critical protections.
SPR-10	The [spacecraft] shall protect authenticator content from unauthorized disclosure and modification.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),IA-5,IA-5(6),RA-5(4),SA-8(18),SA-8(19),SC-28(3)}	Authenticators (keys, tokens, counters, certificates) are primary targets for persistent access attacks. Disclosure or modification enables command spoofing, replay, and privilege escalation. Protecting authenticator content preserves command integrity and prevents adversaries from maintaining covert control. Integrity protections must apply both at rest and in use.
SPR-11	The [spacecraft] encryption key handling shall be handled outside of the onboard software and protected using cryptography.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),SA-8(19),SA-9(6),SC-8(1),SC-12,SC-28(1),SC-28(3)}	Key management separated from modifiable flight software reduces exposure to software compromise. If keys are accessible to onboard applications, malicious code could extract or misuse them. Hardware-anchored or externally managed key handling reduces persistence risk. This supports trust-chain assurance and mitigates firmware-level compromise.
SPR-12	The [spacecraft] encryption keys shall be restricted so that the onboard software is not able to access the information for key readout.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),SA-8(19),SA-9(6),SC-8(1),SC-12,SC-28(3)}	Even privileged software must not be able to retrieve plaintext keys. Preventing readout mitigates malware harvesting and insider misuse. Key usage should be mediated through cryptographic modules rather than direct exposure. This enforces least privilege at the cryptographic boundary.
SPR-13	The [spacecraft] encryption keys shall be restricted so that they cannot be read via any telecommands.{SV-AC-1,SV-AC-3}{AC-17(6),CM-3(6),SA-8(19),SA-9(6),SC-8(1),SC-12,SC-28(3)}	Telecommand paths are high-value targets for adversarial exploitation. Allowing keys to be retrieved via command interfaces creates a catastrophic failure mode. This constraint prevents exfiltration even under partial compromise of command processing logic. It ensures encryption protections cannot be remotely dismantled.
SPR-14	The [spacecraft] shall authenticate the ground station (and all commands) and other spacecraft before establishing remote connections using bidirectional authentication that is cryptographically based.{SV-AC-1,SV-AC-2}{AC-3,AC-17,AC-17(2),AC-17(10),AC-18(1),AC-20,IA-3(1),IA-4,IA-4(9),IA-7,IA-9,SA-8(18),SA-8(19),SA-9(2),SC-7(11),SC-16(1),SC-16(2),SC-16(3),SC-23(3),SI-3(9)}	Authorization can include embedding opcodes in command strings, using trusted authentication protocols, identifying proper link characteristics such as emitter location, expected range of receive power, expected modulation, data rates, communication protocols, beamwidth, etc.; and tracking command counter increments against expected values.
SPR-15	The [spacecraft] shall implement cryptographic mechanisms to identify and reject wireless transmissions that are deliberate attempts to achieve imitative or manipulative communications deception based on signal parameters.{SV-AV-1,SV-IT-1}{AC-3,AC-20,SA-8(19),SC-8(1),SC-23(3),SC-40(3),SI-4(13),SI-4(24),SI-4(25),SI-10(6)}	Adversaries may attempt imitative RF signals to inject commands or manipulate spacecraft behavior. Signal parameter validation (modulation, power, timing, waveform characteristics) strengthens command authentication beyond cryptographic validation alone. This helps mitigate spoofing, replay, and rogue emitter attacks. RF-layer validation complements cryptographic controls.
SPR-16	The [spacecraft] shall ensure that processes reusing a shared system resource (e.g., registers, main memory, secondary storage) do not have access to information (including encrypted representations of information) previously stored in that resource after formal release, by clearing or zeroizing the resource prior to reuse.{SV-AC-6}{AC-3,PM-32,SA-8(2),SA-8(5),SA-8(6),SA-8(19),SC-4,SI-3}	Residual data in memory or registers can create covert channels or leakage paths between partitions. Zeroization prevents recovery of sensitive data by subsequent processes. This mitigates cross-domain leakage and memory scraping attacks. Clearing encrypted remnants is equally important to prevent cryptanalytic exploitation.
SPR-17	The [spacecraft] shall protect the confidentiality and integrity of all information at rest using cryptography.{SV-CF-1,SV-CF-2,SV-AC-3}{AC-3,SA-8(19),SC-28,SC-28(1),SI-7(6)}	* The intent as written is for all transmitted traffic to be protected. This includes internal to internal communications and especially outside of the boundary.
SPR-18	The [spacecraft] shall protect the confidentiality and integrity of information during preparation for transmission, transmission, and reception, in accordance with the [organization]‑provided encryption matrix.{SV-AC-7}{AC-3,SA-8(19),SC-8,SC-8(1),SC-8(2),SC-16,SC-16(1),SC-40}	* Preparation for transmission and during reception includes the aggregation, packing, and transformation options performed prior to transmission and the undoing of those operations that occur upon receipt.
SPR-19	The [spacecraft] shall encrypt all telemetry on downlink regardless of operating mode to protect current state of spacecraft.{SV-CF-4}{AC-3(10),RA-5(4),SA-8(18),SA-8(19),SC-8,SC-8(1),SC-13}	Telemetry exposes real-time spacecraft state and configuration. Unencrypted telemetry can reveal vulnerabilities, operational status, or targeting information. Enforcing encryption across all modes prevents intelligence collection and mission state inference. This mitigates passive RF interception threats.
SPR-20	The [spacecraft] shall prevent use of a mode of operations where cryptography on the TT&C link can be disabled; encryption and authentication shall remain enabled even when automated access control mechanisms are overridden.{SV-AC-1,SV-CF-1,SV-CF-2}{AC-3(10),SA-8(18),SA-8(19),SC-16(2),SC-16(3),SC-40,SC-40(4)}	Emergency or override modes often become attack vectors if protections are weakened. Cryptography must remain enforced even during safe-mode or degraded operations. Removing encryption capability creates a single-point catastrophic exposure. Persistent protection ensures no operational shortcut undermines mission assurance.
SPR-21	The [spacecraft], when transferring information between different security domains, shall implement security‑policy filters that require fully enumerated formats that restrict data structure and content.{SV-AC-6}{AC-3(3),AC-3(4),AC-4(14),IA-9,SA-8(19),SC-16,SI-10}	Fully enumerated formats prevent injection of malformed or malicious data across security domains. This reduces parser exploitation, data smuggling, and covert channel abuse. Strict domain filtering supports deterministic and auditable inter-domain communication. Only explicitly defined data structures should be permitted.
SPR-22	The [spacecraft] shall implement boundary protections to separate bus, communications, and payload components supporting their respective functions.{SV-AC-6}{AC-3(3),AC-3(4),CA-9,SA-8(3),SA-8(14),SA-8(18),SA-8(19),SA-17(7),SC-2,SC-2(2),SC-7(13),SC-7(21),SC-7(29),SC-16(3),SC-32,SI-3,SI-4(13),SI-4(25)}	Flat architectures allow compromise of one subsystem to impact all others. Segregated boundaries reduce lateral movement and mission degradation. Isolation ensures payload compromise does not impact TT&C or bus control. This supports containment and survivability.
SPR-23	The [spacecraft] shall isolate mission critical functionality from non-mission critical functionality.{SV-AC-6}{AC-3(3),AC-3(4),CA-9,SA-8(3),SA-8(19),SA-17(7),SC-2,SC-3,SC-3(4),SC-7(13),SC-7(29),SC-32,SC-32(1),SI-3,SI-7(10),SI-7(12)}	Non-critical functions often expand attack surface. Isolation prevents less-trusted components from affecting propulsion, attitude control, or power systems. This reduces cascading failure risk under compromise. Mission-critical systems must maintain operational continuity.
SPR-24	The [spacecraft] data within partitioned applications shall not be read or modified by other applications/partitions.{SV-AC-6}{AC-3(3),AC-3(4),SA-8(19),SC-2(2),SC-4,SC-6,SC-32}	Application partitions must enforce strict read/write controls to prevent unauthorized state modification. Without this control, malicious code can alter mission parameters or falsify telemetry. Isolation protects integrity of subsystem data and prevents corruption propagation.
SPR-25	The [spacecraft] shall prevent unauthorized access to system resources by employing an efficient capability based object model that supports both confinement and revocation of these capabilities when the platform security deems it necessary.{SV-AC-6}{AC-3(8),IA-4(9),PM-32,SA-8(2),SA-8(5),SA-8(6),SA-8(18),SA-8(19),SC-2(2),SC-4,SC-16,SC-32,SI-3}	Capability models restrict access to explicit, revocable tokens of authority. This enforces least privilege and supports dynamic revocation under threat conditions. Confinement reduces damage radius of compromised processes. Revocation capability enables adaptive cyber response.
SPR-26	The [spacecraft] shall use protected processing domains to enforce the policy that information does not leave the platform boundary unless it is encrypted as a basis for flow‑control decisions and shall enumerate permitted inter‑domain flows and enforce domain‑gate checks on any domain switch. {SV-AC-6}{AC-4(2),IA-9,SA-8(19),SC-8(1),SC-16(3)}	Domain gates provide controlled transition points between security domains. Enumerated flows prevent unintentional data leakage and enforce encryption policies at boundaries. This mitigates cross-domain injection and exfiltration. Strong gate enforcement prevents privilege escalation during context switching.
SPR-27	The [spacecraft] shall define the security functions and security-relevant information for which the system must protect from unauthorized access.{SV-MA-4,SV-MA-6}{AC-6(1),SA-8(19),SC-7(13),SC-16}	Clearly identifying security-relevant functions ensures protections are applied to the correct assets. Undefined security boundaries create ambiguity and inconsistent enforcement. Explicit definition supports verification, testing, and threat modeling. This forms the basis for risk-informed control allocation.
SPR-28	The [spacecraft] shall provide the capability to enter the platform into a known good, operational cyber-safe mode from a tamper-resistant, configuration-controlled (“gold”) image that is authenticated as coming from an acceptable supplier, and has its integrity verified. The [spacecraft] shall refresh only from cryptographically authenticated [organization]-approved sources.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-10(6),CP-12,CP-13,IR-4(3),SA-8(16),SA-8(19),SA-8(21),SA-8(24),SI-13,SI-17}	Cyber-safe mode is an operating mode of a spacecraft during which all nonessential systems are shut down and the spacecraft is placed in a known good state using validated software and configuration settings. Within cyber-safe mode authentication and encryption should still be enabled. The spacecraft should be capable of reconstituting firmware and SW functions to preattack levels to allow for the recovery of functional capabilities. This can be performed by self-healing, or the healing can be aided from the ground. However, the spacecraft needs to have the capability to replan, based on available equipment still available after a cyberattack. The goal is for the vehicle to resume full mission operations. If not possible, a reduced level of mission capability should be achieved.
SPR-29	The [spacecraft] shall enter cyber-safe mode software/configuration should be stored onboard the spacecraft in memory with hardware-based controls and should not be modifiable.{CP-10(6),CP-13,SA-8(16),SA-8(19),SA-8(21),SA-8(24),SI-17}
SPR-30	The [spacecraft] shall fail to a known secure state for failures during initialization, and aborts preserving information necessary to return to operations in failure.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-10(6),CP-13,SA-8(16),SA-8(19),SA-8(24),SC-24,SI-13,SI-17}
SPR-31	The [spacecraft] shall fail securely to a secondary device in the event of an operational failure of a primary boundary protection device (i.e., crypto solution).{SV-AC-1,SV-AC-2,SV-CF-1,SV-CF-2}{CP-13,SA-8(19),SA-8(24),SC-7(18),SI-13,SI-13(4)}	If a primary boundary protection device fails, the spacecraft must not revert to insecure operation. Secure failover ensures continuity of confidentiality and integrity protections. This prevents adversaries from inducing failure states to bypass encryption. Redundancy strengthens mission resilience.
SPR-32	The [spacecraft] shall provide or support the capability for recovery and reconstitution to a known state after a disruption, compromise, or failure.{SV-AV-5,SV-AV-6,SV-AV-7}{CP-4(4),CP-10,CP-10(4),CP-10(6),CP-13,IR-4,IR-4(1),SA-8(16),SA-8(19),SA-8(24)}
SPR-33	The [spacecraft] shall utilize TRANSEC. TRANSEC shall be implemented and verified as a distinct layer in coordination with Traffic Flow Security and RF anti‑fingerprinting.{SV-AV-1}{CP-8,RA-5(4),SA-8(18),SA-8(19),SC-8(1),SC-8(4),SC-16,SC-16(1),SC-16(2),SC-16(3),SC-40,SC-40(4)}	Transmission Security (TRANSEC) is used to ensure the availability of transmissions and limit intelligence collection from the transmissions. TRANSEC is secured through burst encoding, frequency hopping, or spread spectrum methods where the required pseudorandom sequence generation is controlled by a cryptographic algorithm and key. Such keys are known as transmission security keys (TSK). The objectives of transmission security are low probability of interception (LPI), low probability of detection (LPD), and antijam which means resistance to jamming (EPM or ECCM).
SPR-34	The [spacecraft] shall recover to a known cyber-safe state when an anomaly is detected.{IR-4,IR-4(1),SA-8(16),SA-8(19),SA-8(21),SA-8(24),SI-3,SI-4(7),SI-10(6),SI-13,SI-17}
SPR-35	The [spacecraft] shall perform an orderly, controlled system shut-down to a known cyber-safe state upon receipt of a termination command or condition.{PE-11,PE-11(1),SA-8(16),SA-8(19),SA-8(24),SI-17}
SPR-36	The [spacecraft] shall operate securely in off-nominal power conditions, including loss of power and spurious power transients.{SV-AV-6,SV-MA-2}{PE-11,PE-11(1),SA-8(16),SA-8(19),SI-13,SI-17}	Power anomalies may induce undefined states exploitable by attackers. Cryptographic and security mechanisms must not degrade into insecure configurations during brownout or transient conditions. This mitigates fault-induced bypass attacks. Resilient operation preserves trust chain continuity.
SPR-37	The [spacecraft] shall protect system components, associated data communications, and communication buses in accordance with: (i) national emissions and TEMPEST policies and procedures, and (ii) the security category or sensitivity of the transmitted information, and shall demonstrate compliance via pre‑launch TEMPEST‑like evaluation for co‑located payload configurations.{SV-CF-2,SV-MA-2}{PE-14,PE-19,PE-19(1),RA-5(4),SA-8(18),SA-8(19),SC-8(1)}	The measures taken to protect against compromising emanations must be in accordance with DODD S-5200.19, or superseding requirements. The concerns addressed by this control during operation are emanations leakage between multiple payloads within a single space platform, and between payloads and the bus.
SPR-38	The [spacecraft] shall be designed so that it protects itself from information leakage due to electromagnetic signals emanations.{SV-CF-2,SV-MA-2}{PE-19,PE-19(1),RA-5(4),SA-8(19)}	This requirement applies if system components are being designed to address EMSEC and the measures taken to protect against compromising emanations must be in accordance with DODD S-5200.19, or superseding requirements.
SPR-39	The [spacecraft] shall prevent unauthorized and unintended information transfer via shared system resources.{SV-AC-6}{PM-32,SA-8(2),SA-8(5),SA-8(6),SA-8(19),SC-2(2),SC-4}	Shared buses, memory, or peripherals can become covert channels. Controls must prevent unintended information propagation across shared infrastructure. This mitigates cross-partition leakage and data exfiltration. Shared resources must not undermine domain isolation.
SPR-40	The [spacecraft] shall only use communication protocols that support encryption within the mission.{SV-AC-7,SV-CF-1,SV-CF-2}{SA-4(9),SA-8(18),SA-8(19),SC-40(4)}	Protocols lacking encryption create unavoidable exposure. Selecting encryption-capable protocols ensures confidentiality and integrity can be enforced mission-wide. This reduces risk from protocol downgrade attacks.
SPR-41	The [spacecraft] shall maintain a separate execution domain for each executing process.{SV-AC-6}{SA-8(14),SA-8(19),SC-2(2),SC-7(21),SC-39,SI-3}	Process isolation prevents one compromised task from impacting others. Separate execution domains mitigate memory corruption and privilege escalation. This strengthens containment of malicious code. Deterministic isolation enhances both safety and cybersecurity.
SPR-42	The [spacecraft] flight software shall not be able to tamper with the security policy or its enforcement mechanisms.{SV-AC-6}{SA-8(16),SA-8(19),SC-3,SC-7(13)}	Security enforcement must be independent of mission application logic. If FSW can alter policy, adversaries can disable protections post-compromise. This control preserves integrity of access controls and monitoring functions. Separation of enforcement from application reduces systemic risk.
SPR-43	The [spacecraft] shall initialize the platform to a known safe state.{SA-8(19),SA-8(23),SA-8(24),SI-17}
SPR-44	The [spacecraft] shall maintain the confidentiality and integrity of information during preparation for transmission and during reception in accordance with [organization] provided encryption matrix.{SV-CF-1,SV-CF-2,SV-IT-2}{SA-8(19),SC-8,SC-8(1),SC-8(2),SC-8(3)}	* Preparation for transmission and during reception includes the aggregation, packing, and transformation options performed prior to transmission and the undoing of those operations that occur upon receipt.
SPR-45	The [spacecraft] shall implement cryptographic mechanisms that achieve protection against the effects of intentional electromagnetic interference; verification evidence for EMI/EPM shall be distinct from EMSEC/TEMPEST, anti‑jam/anti‑spoof protections, and EMP/HANE hardness.{SV-AV-1,SV-IT-1}{SA-8(19),SC-8(1),SC-40,SC-40(1)}	Intentional electromagnetic interference may attempt to induce predictable faults or bypass protections. Cryptographic resilience ensures corrupted transmissions are rejected. Verification must distinguish EMI/EPM resilience from TEMPEST and anti-jam protections. This ensures integrity under hostile RF environments.
SPR-46	The [spacecraft] shall monitor [Program‑defined telemetry points] for malicious commanding attempts and alert ground operators upon detection.{SV-AC-2,SV-IT-1,SV-DCO-1}{AC-17,AC-17(1),AC-17(10),AU-3(1),RA-10,SC-7,SC-16,SC-16(2),SC-16(3),SI-3(8),SI-4,SI-4(1),SI-4(13),SI-4(24),SI-4(25),SI-10(6)}	Telemetry-based detection enables identification of anomalous command patterns, replay attempts, and injection attacks. Early detection allows rapid containment before mission impact escalates. Onboard monitoring is critical when ground latency limits intervention. This supports proactive defense.
SPR-47	The [spacecraft] shall implement relay and replay-resistant authentication mechanisms for establishing a remote connection.{SV-AC-1,SV-AC-2}{AC-3,IA-2(8),IA-2(9),SA-8(18),SC-8(1),SC-16(1),SC-16(2),SC-23(3),SC-40(4)}	Replay attacks can reuse valid command packets to manipulate spacecraft behavior. Freshness checks, nonces, and sequence enforcement prevent reuse of captured transmissions. Relay resistance mitigates man-in-the-middle exploitation. This protects command integrity over RF links.
SPR-48	The [spacecraft] shall implement cryptographic mechanisms to protect the integrity of audit information and audit tools.{SV-DCO-1}{AU-9(3),RA-10,SC-8(1),SI-3,SI-3(10),SI-4(24)}	Audit logs are essential for attribution and forensic analysis. If adversaries can modify audit data, detection and recovery become unreliable. Cryptographic integrity protections preserve evidentiary value.
SPR-49	The [spacecraft] shall implement cryptography for the indicated uses using the indicated protocols, algorithms, and mechanisms, in accordance with CNSSP 12 and applicable federal laws, Executive Orders, directives, policies, regulations, and standards.{IA-7,SC-8(1),SC-13,SI-12}
SPR-50	The [spacecraft] shall implement cryptographic mechanisms to protect the confidentiality and integrity of information during transmission unless otherwise protected by approved physical safeguards.{SV-AC-7}{SC-8,SC-8(1),SC-8(4),SI-7(6)}	Unprotected transmission exposes telemetry, commands, and state information to interception or manipulation. Cryptographic protections ensure authenticity and confidentiality across all communication paths. Physical safeguards alone are insufficient in contested environments.
SPR-51	The [spacecraft] shall implement cryptographic mechanisms to protect message externals unless otherwise protected by alternative physical safeguards.{SV-AC-7}{SC-8(3)}	Message externals (headers, routing data, metadata, protocol identifiers) can reveal operational state, enable traffic analysis, or be manipulated to redirect or replay communications. Cryptographic protection prevents adversaries from exploiting metadata to infer spacecraft posture or inject malicious traffic. Even if payload content is encrypted, unprotected externals can enable protocol exploitation or session hijacking. Physical safeguards alone are insufficient in contested RF environments.
SPR-52	The [spacecraft] shall limit the generation and storage of sensitive/critical mission or system information. Generation shall be done on-demand where possible, and the information shall be deleted immediately when no longer needed.{SV-CF-3,SV-CF-1}{SI-21}	Reducing the amount and lifetime of sensitive data directly reduces attack surface and exfiltration risk. On-demand generation limits exposure windows and minimizes residual data available for compromise. Immediate deletion prevents recovery via memory scraping, shared resource reuse, or post-compromise forensic harvesting by an adversary. Data minimization is a foundational secure-by-design principle in resource-constrained spacecraft.
SPR-227	The [organization] shall identify all locations (including ground and contractor systems) that store or process sensitive system information.{SV-CF-3,SV-SP-4,SV-SP-10}{AC-3(11),CM-12}	Space system sensitive information can include a wide range of candidate material: functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of link segment protections subject to disabling/bypassing, failure/anomaly resolution, and any other sensitive information related to architecture, software, and mission operations.
SPR-228	The [organization] shall identify sensitive mission data (e.g.CPI) and document the specific on-board components on which the information is processed and stored.{SV-MA-4,SV-CF-3}{AC-3(11),CM-12}	Space system sensitive information can include a wide range of candidate material: functional and performance specifications, any ICDs (like radio frequency, ground-to-space, etc.), command and telemetry databases, scripts, simulation and rehearsal results/reports, descriptions of link segment protections subject to disabling/bypassing, failure/anomaly resolution, and any other sensitive information related to architecture, software, and mission operations.
SPR-229	The [organization] shall protect documentation and Controlled Unclassified Information (CUI) as required, in accordance with the risk management strategy.{SV-CF-3,SV-SP-4,SV-SP-10}{AC-3,CM-12,CP-2,PM-17,RA-5(4),SA-3,SA-3(1),SA-5,SA-10,SC-8(1),SC-28(3),SI-12}	Documentation may reveal architecture details exploitable by adversaries. Proper handling prevents leakage. Protection of CUI supports regulatory compliance. Information governance complements technical controls.
SPR-230	The [organization] shall identify and properly classify mission sensitive design/operations information and access control shall be applied in accordance with classification guides and applicable federal laws, Executive Orders, directives, policies, regulations, and standards.{SV-CF-3,SV-AV-5}{AC-3,CM-12,CP-2,PM-17,RA-5(4),SA-3,SA-3(1),SA-5,SA-8(19),SC-8(1),SC-28(3),SI-12}	* Mission sensitive information should be classified as Controlled Unclassified Information (CUI) or formally known as Sensitive but Unclassified. Ideally these artifacts would be rated SECRET or higher and stored on classified networks. Mission sensitive information can typically include a wide range of candidate material: the functional and performance specifications, the RF ICDs, databases, scripts, simulation and rehearsal results/reports, descriptions of uplink protection including any disabling/bypass features, failure/anomaly resolution, and any other sensitive information related to architecture, software, and flight/ground /mission operations. This could all need protection at the appropriate level (e.g., unclassified, SBU, classified, etc.) to mitigate levels of cyber intrusions that may be conducted against the project’s networks. Stand-alone systems and/or separate database encryption may be needed with controlled access and on-going Configuration Management to ensure changes in command procedures and critical database areas are tracked, controlled, and fully tested to avoid loss of science or the entire mission.
SPR-231	The [organization] shall distribute documentation to only personnel with defined roles and a need to know.{SV-CF-3,SV-AV-5}{CM-12,CP-2,SA-5,SA-10}	Least privilege and need to know should be employed with the protection of all documentation. Documentation can contain sensitive information that can aid in vulnerability discovery, detection, and exploitation. For example, command dictionaries for ground and space systems should be handles with extreme care. Additionally, design documents for missions contain many key elements that if compromised could aid in an attacker successfully exploiting the system.
SPR-232	The [organization] shall conduct a criticality analysis to identify mission critical functions and critical components and reduce the vulnerability of such functions and components through secure system design.{SV-SP-3,SV-SP-4,SV-AV-7,SV-MA-4}{CP-2,CP-2(8),PL-7,PM-11,PM-30(1),RA-3(1),RA-9,SA-8(9),SA-8(11),SA-8(25),SA-12,SA-14,SA-15(3),SC-7(29),SR-1}	During SCRM, criticality analysis will aid in determining supply chain risk. For mission critical functions/components, extra scrutiny must be applied to ensure supply chain is secured.
SPR-233	The [organization] shall identify the applicable physical and environmental protection policies covering the development environment and spacecraft hardware. {SV-SP-4,SV-SP-5,SV-SP-10}{PE-1,PE-14,SA-3,SA-3(1),SA-10(3)}	Development environments must be protected from tampering. Physical controls prevent hardware supply chain compromise. Policy clarity ensures consistent safeguards. Secure development underpins secure deployment.
SPR-234	The [organization] shall develop and document program-specific identification and authentication policies for accessing the development environment and spacecraft. {SV-SP-10,SV-AC-4}{AC-3,AC-14,IA-1,SA-3,SA-3(1)}	Strong authentication prevents unauthorized development access. Development compromise can introduce malicious code. Documented policies ensure consistent enforcement. Identity governance supports supply chain integrity.
SPR-235	The [organization] shall ensure security requirements/configurations are placed in accordance with NIST 800-171 with enhancements in 800-172 on the development environments to prevent the compromise of source code from supply chain or information leakage perspective.{SV-SP-4,SV-SP-10,SV-CF-3}{AC-3,SA-3,SA-3(1),SA-15}	Supply chain threats target development environments. Enhanced controls reduce risk of source code exfiltration. Compliance strengthens contractual and regulatory assurance. Development security directly impacts spacecraft integrity.
SPR-236	The [organization] shall implement a verifiable flaw remediation process into the developmental and operational configuration management process.{SV-SP-1,SV-SP-6,SV-SP-7,SV-SP-9,SV-SP-11}{CA-2,CA-5,SA-3,SA-3(1),SA-11,SI-3,SI-3(10)}	The verifiable process should also include a cross reference to mission objectives and impact statements. Understanding the flaws discovered and how they correlate to mission objectives will aid in prioritization.
SPR-237	The [organization] shall establish robust procedures and technical methods to perform testing to include adversarial testing (i.e.abuse cases) of the platform hardware and software.{SV-SP-2,SV-SP-1}{CA-8,CP-4(5),RA-5,RA-5(1),RA-5(2),SA-3,SA-4(3),SA-11,SA-11(1),SA-11(2),SA-11(5),SA-11(7),SA-11(8),SA-15(7)}	Abuse-case testing reveals design weaknesses before deployment. Red-teaming strengthens defensive posture. Proactive validation reduces operational risk. Testing must simulate realistic threat scenarios.
SPR-238	The [organization] shall require subcontractors developing information system components or providing information system services (as appropriate) to demonstrate the use of a system development life cycle that includes [state-of-the-practice system/security engineering methods, software development methods, testing/evaluation/validation techniques, and quality control processes].{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-9}{SA-3,SA-4(3)}	Select the particular subcontractors, software vendors, and manufacturers based on the criticality analysis performed for the Program Protection Plan and the criticality of the components that they supply. Examples of good security practices would be using defense-in-depth tactics across the board, least-privilege being implemented, two factor authentication everywhere possible, using DevSecOps, implementing and validating adherence to secure coding standards, performing static code analysis, component/origin analysis for open source, fuzzing/dynamic analysis with abuse cases, etc.
SPR-239	The [organization] shall approve, document, and control the use of operational data in preproduction environments (i.e., development, I&T, etc.).{SV-CF-3,SV-SP-10}{SA-3(2)}	Operational data in test environments increases exposure risk. Controlled handling prevents unintended leakage. Proper governance reduces insider and supply chain risk. Sensitive data must be protected at all lifecycle stages.
SPR-240	The [organization] shall categorize/classify preproduction environments (i.e., development, I&T, etc.) at the same level as any operational data in use within the environment and protect the system consistent with its categorization/classification.{SV-SP-10,SV-SP-4}{SA-3(2)}	Development systems often become attack vectors. Equal classification ensures consistent safeguards. Protection must reflect data sensitivity. Weak dev security undermines operational integrity.
SPR-241	The [organization] shall require the developer of the system, system component, or system services to identify organizational data that will be processed or stored on non-organizational systems.{SV-CF-3,SV-SP-6}{SA-4(12)}	Awareness of data location prevents uncontrolled exposure. Third-party systems may lack equivalent security. Explicit identification enables mitigation. Data governance strengthens risk management.
SPR-242	The [organization] shall require the developer of the system, system component, or system services to remove all organizational data from contractor system(s) when no longer needed for development purposes or whenever instructed by the organization.{SV-CF-3}{SA-4(12),SI-21}	Residual data increases breach impact. Timely removal reduces exposure. Lifecycle data hygiene is critical. Controlled offboarding prevents persistence of sensitive information.
SPR-243	The [organization] shall protect documentation and Essential Elements of Information (EEI) as required, in accordance with the risk management strategy.{SV-CF-3,SV-AV-5}{SA-5}	Essential Elements of Information (EEI):
SPR-244	The [organization] shall define the secure communication protocols to be used within the mission in accordance with applicable federal laws, Executive Orders, directives, policies, regulations, and standards.{SV-AC-7,SV-CF-1}{PL-7,RA-5(4),SA-4(9),SA-8(18),SA-8(19),SC-8(1),SC-16(3),SC-40(4),SI-12}	Standardized secure protocols reduce interoperability risk. Alignment with federal standards ensures validated cryptography. Defined protocols prevent ad hoc insecure implementations. Governance strengthens communication assurance.
SPR-245	The [organization] shall define processes and procedures to be followed when integrity verification tools detect unauthorized changes to software, firmware, and information.{SV-IT-2}{CM-3,CM-3(1),CM-3(5),CM-5(6),CM-6,CP-2,IR-6,IR-6(2),PM-30,SC-16(1),SC-51,SI-3,SI-4(7),SI-4(24),SI-7,SI-7(7),SI-7(10)}	Predefined response procedures reduce reaction time. Clear escalation paths improve containment. Consistent handling prevents confusion during incidents. Preparedness strengthens resilience.
SPR-246	The [organization] shall ensure that all Electrical, Electronic, Electro-mechanical & Electro-optical (EEEE) and mechanical piece parts procured from the Original Component Manufacturer (OCM) or their authorized distribution network.{SA-8(9),SA-8(11),SA-12,SA-12(1),SC-16(1),SR-1,SR-5}
SPR-247	The [organization] shall develop policies and procedures to ensure proper care is taken when disposing of sensitive data, documentation, or system components throughout the entire mission lifecycle.{SV-CF-3,SV-SP-4}{SR-12}	Improper disposal may expose system details. Lifecycle security includes end-of-life handling. Secure destruction prevents reconstruction or reverse engineering. Governance extends beyond operations.
SPR-248	The [organization] shall employ Operations Security (OPSEC) safeguards to protect supply chain-related information for the system, system components, or system services. {CP-2(8),PM-30,SA-12(9),SC-38,SR-7}	Supply chain information can reveal vulnerabilities. OPSEC reduces adversary intelligence gathering. Controlled disclosure minimizes targeting risk. Information discipline strengthens strategic defense.
SPR-249	The [organization] shall employ [Program-defined Operations Security (OPSEC) safeguards] to protect supply chain-related information for the system, system components, or system services.{SV-SP-3,SV-SP-4,SV-AV-7,SV-SP-11}{CP-2(8),PM-30,SA-12(9),SC-38,SR-7}	OPSEC safeguards may include: (1) Limiting the disclosure of information needed to design, develop, test, produce, deliver, and support the element for example, supplier identities, supplier processes, potential suppliers, security requirements, design specifications, testing and evaluation result, and system/component configurations, including the use of direct shipping, blind buys, etc.; (2) Extending supply chain awareness, education, and training for suppliers, intermediate users, and end users; (3) Extending the range of OPSEC tactics, techniques, and procedures to potential suppliers, contracted suppliers, or sub-prime contractor tier of suppliers; and (4) Using centralized support and maintenance services to minimize direct interactions between end users and original suppliers.
SPR-435	For FPGA pre-silicon artifacts that are developed, coded, and tested by a developer that is not accredited, the [organization] shall be subjected to a development environment and pre-silicon artifacts risk assessment by [organization]. Based on the results of the risk assessment, the [organization] may need to implement protective measures or other processes to ensure the integrity of the FPGA pre-silicon artifacts.{SV-SP-5}{SA-3,SA-3(1),SA-8(9),SA-8(11),SA-12,SA-12(1),SR-1,SR-5}	DOD-I-5200.44 requires the following: 4.c.2 “Control the quality, configuration, and security of software, firmware, hardware, and systems throughout their lifecycles... Employ protections that manage risk in the supply chain… (e.g., integrated circuits, field-programmable gate arrays (FPGA), printed circuit boards) when they are identifiable (to the supplier) as having a DOD end-use. “ 4.e “In applicable systems, integrated circuit-related products and services shall be procured from a Trusted supplier accredited by the Defense Microelectronics Activity (DMEA) when they are custom-designed, custommanufactured, or tailored for a specific DOD military end use (generally referred to as application-specific integrated circuits (ASIC)). “ 1.g “In coordination with the DOD CIO, the Director, Defense Intelligence Agency (DIA), and the Heads of the DOD Components, develop a strategy for managing risk in the supply chain for integrated circuit-related products and services (e.g., FPGAs, printed circuit boards) that are identifiable to the supplier as specifically created or modified for DOD (e.g., military temperature range, radiation hardened).
SPR-436	The [organization] shall require the developer of the system, system component, or system services to demonstrate the use of a system development life cycle that includes [state-of-the-practice system/security engineering methods, software development methods, testing/evaluation/validation techniques, and quality control processes].{SV-SP-1,SV-SP-2,SV-SP-3,SV-SP-9}{SA-3,SA-4(3)}	Examples of good security practices would be using defense-in-depth tactics across the board, least-privilege being implemented, two factor authentication everywhere possible, using DevSecOps, implementing and validating adherence to secure coding standards, performing static code analysis, component/origin analysis for open source, fuzzing/dynamic analysis with abuse cases, etc.
SPR-455	The [spacecraft] shall restrict access to flight software executables, cryptographic material, command dictionaries, and [organization]-defined sensitive payload data to the privileged execution domain and shall deny all other access by default.{SV-AC-1,SV-AC-3,SV-IT-3}{AC-3(11),AC-6}	Flight executables and cryptographic materials are high-value targets. Restricting access reduces exploitation pathways. Default deny enforces least privilege. Segmentation enhances resilience.
SPR-456	The [spacecraft] shall implement OS or hardware enforcement for these restrictions and shall log any attempted access violations.{SV-AC-1,SV-DCO-1}{AC-3,AC-3(11)}	Hardware-enforced policy is harder to bypass than software-only controls. Logging violations supports detection and response. Layered enforcement strengthens assurance. Technical barriers reinforce governance intent.
SPR-457	The [spacecraft] shall verify cryptographic integrity and origin of data at each relay hop before forwarding information between internal components, payloads, crosslinks, and ground.{SV-IT-1,SV-IT-2,SV-AC-3}{CA-3(7),SC-8(1),SC-13,SC-23}	End-to-end security alone is insufficient in multi-hop spacecraft architectures. Verifying integrity and origin at each relay prevents compromised subsystems from forwarding malicious data laterally. Hop-by-hop validation limits propagation of injected commands or payload tampering. This enforces zero-trust principles internally.
SPR-472	The [organization] shall define mission and business processes that map mission objectives to space-segment security requirements, including safe-mode criteria, secure uplink and downlink obligations, and recovery procedures, and shall baseline these processes under configuration control.{SV-MA-6,SV-AV-5}{PM-11,PL-2,CM-2}	Security must align with mission objectives. Explicit mapping ensures safe-mode criteria and communication obligations are controlled. Baseline governance prevents undocumented deviations. Integration supports mission assurance.
SPR-479	The [organization] shall define, baseline, and maintain the purposing of the space platform and link segment, including intended objectives, authorized capabilities, prohibited functions, and operational constraints, and shall use this baseline to bound requirements, updates, and on-orbit operations.{SV-AC-8,SV-MA-6}{PM-32,PL-8}	Defining authorized and prohibited functions prevents scope creep. Clear purposing bounds updates and operational use. Governance limits misuse potential. Structured baseline supports disciplined operations.
SPR-481	The [organization] shall define and document data ownership for mission data types across the space platform and link segment, including authority over classification, storage, retention, distribution, cross-domain transfer, and decommissioning.{SV-CF-3}{SA-4(12)}	Clear authority over mission data reduces ambiguity. Defined classification and retention policies prevent mishandling. Ownership governance strengthens accountability. Structured control supports compliance.
SPR-530	The [spacecraft] shall enable selected maintenance capabilities only within time‑bounded and mode‑bounded windows, audit enable/disable events, auto‑revert on timeout/reset, and expose enabled/disabled capability state in telemetry.{SV-AC-8,SV-AC-4}{CM-7,CM-7(2),SA-8,SA-8(14),AC-3}	Maintenance capabilities expand risk surface. Time-limited activation reduces abuse window. Telemetry exposure ensures oversight. Auto-revert strengthens containment.
SPR-551	The [organization] shall ensure end‑of‑life sanitization or destruction of boards/media that stored cryptographic material or mission data, render on‑orbit cryptographic material unrecoverable at decommissioning, and retain records proving disposal actions.{SV-SP-4}{SR-12,MP-6}	Residual crypto material poses long-term risk. Verified destruction prevents reuse or recovery. Documented disposal supports compliance. Lifecycle closure strengthens mission assurance.