- Add RpmVersionComparer for RPM version comparison with epoch, version, and release handling.
- Introduce DebianVersion for parsing Debian EVR (Epoch:Version-Release) strings.
- Create ApkVersion for parsing Alpine APK version strings with suffix support.
- Define IVersionComparator interface for version comparison with proof-line generation.
- Implement VersionComparisonResult struct to encapsulate comparison results and proof lines.
- Add tests for Debian and RPM version comparers to ensure correct functionality and edge case handling.
- Create project files for the version comparison library and its tests.
- Created a new document for the Stella Ops Reference Architecture outlining the system's topology, trust boundaries, artifact association, and interfaces.
- Developed a comprehensive Testing Strategy document detailing the importance of offline readiness, interoperability, determinism, and operational guardrails.
- Introduced a README for the Testing Strategy, summarizing processing details and key concepts implemented.
- Added guidance for AI agents and developers in the tests directory, including directory structure, test categories, key patterns, and rules for test development.
- Introduced `VexStatusChipComponent` to display VEX status with color coding and tooltips.
- Implemented integration tests for reachability drift detection, covering various scenarios including drift detection, determinism, and error handling.
- Enhanced `ScannerToSignalsReachabilityTests` with a null implementation of `ICallGraphSyncService` for better test isolation.
- Updated project references to include the new Reachability Drift library.
- Implemented a new tool `stella-callgraph-node` that extracts call graphs from JavaScript/TypeScript projects using Babel AST.
- Added command-line interface with options for JSON output and help.
- Included functionality to analyze project structure, detect functions, and build call graphs.
- Created a package.json file for dependency management.
feat: introduce stella-callgraph-python for Python call graph extraction
- Developed `stella-callgraph-python` to extract call graphs from Python projects using AST analysis.
- Implemented command-line interface with options for JSON output and verbose logging.
- Added framework detection to identify popular web frameworks and their entry points.
- Created an AST analyzer to traverse Python code and extract function definitions and calls.
- Included requirements.txt for project dependencies.
chore: add framework detection for Python projects
- Implemented framework detection logic to identify frameworks like Flask, FastAPI, Django, and others based on project files and import patterns.
- Enhanced the AST analyzer to recognize entry points based on decorators and function definitions.
- Implemented CanonJson class for deterministic JSON serialization and hashing.
- Added unit tests for CanonJson functionality, covering various scenarios including key sorting, handling of nested objects, arrays, and special characters.
- Created project files for the Canonical JSON library and its tests, including necessary package references.
- Added README.md for library usage and API reference.
- Introduced RabbitMqIntegrationFactAttribute for conditional RabbitMQ integration tests.
- Add RateLimitConfig for configuration management with YAML binding support.
- Introduce RateLimitDecision to encapsulate the result of rate limit checks.
- Implement RateLimitMetrics for OpenTelemetry metrics tracking.
- Create RateLimitMiddleware for enforcing rate limits on incoming requests.
- Develop RateLimitService to orchestrate instance and environment rate limit checks.
- Add RateLimitServiceCollectionExtensions for dependency injection registration.
- Implemented comprehensive unit tests for VexCandidateEmitter to validate candidate emission logic based on various scenarios including absent and present APIs, confidence thresholds, and rate limiting.
- Added integration tests for SmartDiff PostgreSQL repositories, covering snapshot storage and retrieval, candidate storage, and material risk change handling.
- Ensured tests validate correct behavior for storing, retrieving, and querying snapshots and candidates, including edge cases and expected outcomes.
- Introduced InMemoryIssuerAuditSink to retain audit entries for testing.
- Implemented InMemoryIssuerKeyRepository for deterministic key storage.
- Created InMemoryIssuerRepository to manage issuer records in memory.
- Added InMemoryIssuerTrustRepository for managing issuer trust overrides.
- Each repository utilizes concurrent collections for thread-safe operations.
- Enhanced deprecation tracking with a comprehensive YAML schema for API governance.
- Added AirgapTimelineImpact, AirgapTimelineImpactInput, and AirgapTimelineImpactResult records for managing air-gap bundle import impacts.
- Introduced EvidenceSnapshotRecord, EvidenceSnapshotLinkInput, and EvidenceSnapshotLinkResult records for linking findings to evidence snapshots.
- Created IEvidenceSnapshotRepository interface for managing evidence snapshot records.
- Developed StalenessValidationService to validate staleness and enforce freshness thresholds.
- Implemented AirgapTimelineService for emitting timeline events related to bundle imports.
- Added EvidenceSnapshotService for linking findings to evidence snapshots and verifying their validity.
- Introduced AirGapOptions for configuring air-gap staleness enforcement and thresholds.
- Added minimal jsPDF stub for offline/testing builds in the web application.
- Created TypeScript definitions for jsPDF to enhance type safety in the web application.
- Added DefaultCryptoHmac class implementing ICryptoHmac interface.
- Introduced purpose-based HMAC computation methods.
- Implemented verification methods for HMACs with constant-time comparison.
- Created HmacAlgorithms and HmacPurpose classes for well-known identifiers.
- Added compliance profile support for HMAC algorithms.
- Included asynchronous methods for HMAC computation from streams.
- Created StellaOps.Notify.Storage.Mongo project with initial configuration.
- Added expected output files for acceptance tests (at1.txt to at10.txt).
- Added fixture input files for acceptance tests (at1 to at10).
- Created input and signature files for test cases fc1 to fc5.
- Implemented PolicyPackSelectorComponent for selecting policy packs.
- Added unit tests for component behavior, including API success and error handling.
- Introduced monaco-workers type declarations for editor workers.
- Created acceptance tests for guardrails with stubs for AT1–AT10.
- Established SCA Failure Catalogue Fixtures for regression testing.
- Developed plugin determinism harness with stubs for PL1–PL10.
- Added scripts for evidence upload and verification processes.
- Implemented RecordingLogger and RecordingLoggerFactory for capturing log entries in tests.
- Added unit tests for InMemoryChannel, covering constructor behavior, property assignments, channel communication, and disposal.
- Created InMemoryTransportOptionsTests to validate default values and customizable options for InMemory transport.
- Developed RabbitMqFrameProtocolTests to ensure correct parsing and property creation for RabbitMQ frames.
- Added RabbitMqTransportOptionsTests to verify default settings and customization options for RabbitMQ transport.
- Updated project files for testing libraries and dependencies.
- Added graph.inspect.v1 documentation outlining payload structure and determinism rules.
- Created JSON schema for graph.inspect.v1 to enforce payload validation.
- Defined mapping rules for graph relationships, advisories, and VEX statements.
feat(notifications): establish remediation blueprint for gaps NR1-NR10
- Documented requirements, evidence, and tests for Notifier runtime.
- Specified deliverables and next steps for addressing identified gaps.
docs(notifications): organize operations and schemas documentation
- Created README files for operations, schemas, and security notes to clarify deliverables and policies.
feat(advisory): implement PostgreSQL caching for Link-Not-Merge linksets
- Created database schema for advisory linkset cache.
- Developed repository for managing advisory linkset cache operations.
- Added tests to ensure correct functionality of the AdvisoryLinksetCacheRepository.
- Introduced a new VEX compact fixture for testing purposes.
- Implemented `verify_export.py` script to validate Findings Ledger exports, ensuring deterministic ordering and applying redaction manifests.
- Added a lightweight stub `HarnessRunner` for unit tests to validate ledger hashing expectations.
- Documented tasks related to the Mirror Creator.
- Created models for entropy signals and implemented the `EntropyPenaltyCalculator` to compute penalties based on scanner outputs.
- Developed unit tests for `EntropyPenaltyCalculator` to ensure correct penalty calculations and handling of edge cases.
- Added tests for symbol ID normalization in the reachability scanner.
- Enhanced console status service with comprehensive unit tests for connection handling and error recovery.
- Included Cosign tool version 2.6.0 with checksums for various platforms.
- Implemented shared trace ID generation utility for Risk and Vulnerability clients, ensuring consistent trace headers across API calls.
- Updated RiskHttpClient and VulnerabilityHttpClient to utilize the new trace ID generation method.
- Added validation for artifact metadata in PackRun endpoints, ensuring all artifacts include a digest and positive size.
- Enhanced logging payloads in PackRun to include artifact digests and sizes.
- Created a utility for generating trace IDs, preferring crypto.randomUUID when available, with a fallback to a ULID-style string.
- Added unit tests to verify the presence of trace IDs in HTTP requests for VulnerabilityHttpClient.
- Documented query-hash metrics for Vuln Explorer, detailing hashing rules and logging filters to ensure compliance with privacy standards.
- Consolidated findings from late-November reviews into a comprehensive advisory for Scanner and SBOM/VEX areas, outlining remediation tracks and gaps.
- Introduced `ui_bench_driver.mjs` to read scenarios and fixture manifest, generating a deterministic run plan.
- Created `ui_bench_plan.md` outlining the purpose, scope, and next steps for the benchmark.
- Added `ui_bench_scenarios.json` containing various scenarios for graph UI interactions.
- Implemented tests for CLI commands, ensuring bundle verification and telemetry defaults.
- Developed schemas for orchestrator components, including replay manifests and event envelopes.
- Added mock API for risk management, including listing and statistics functionalities.
- Implemented models for risk profiles and query options to support the new API.
