- Added `spl-secret-block@1.json` to block deployments with critical or high severity secret findings.
- Introduced `spl-secret-warn@1.json` to warn on secret findings without blocking deployments.
- Created `SecretSignalBinder.cs` to bind secret evidence to policy evaluation signals.
- Developed unit tests for `SecretEvidenceContext` and `SecretSignalBinder` to ensure correct functionality.
- Enhanced `SecretSignalContextExtensions` to integrate secret evidence into signal contexts.
Sprint: SPRINT_20251229_049_BE_csproj_audit_maint_tests
Tasks: AUDIT-0001 through AUDIT-0147 APPLY tasks (approved decisions 1-9)
Changes:
- Set TreatWarningsAsErrors=true for all production .NET projects
- Fixed nullable warnings in Scanner.EntryTrace, Scanner.Evidence,
Scheduler.Worker, Concelier connectors, and other modules
- Injected TimeProvider/IGuidProvider for deterministic time/ID generation
- Added path traversal validation in AirGap.Bundle
- Fixed NULL handling in various cursor classes
- Third-party GostCryptography retains TreatWarningsAsErrors=false (preserves original)
- Test projects excluded per user decision (rejected decision 10)
Note: All 17 ACSC connector tests pass after snapshot fixture sync
- Introduced `sink-detect.js` with various security sink detection patterns categorized by type (e.g., command injection, SQL injection, file operations).
- Implemented functions to build a lookup map for fast sink detection and to match sink calls against known patterns.
- Added `package-lock.json` for dependency management.
- 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.
- Deleted obsolete test files for SchedulerAuditService and SchedulerMongoSessionFactory.
- Removed unused TestDataFactory class.
- Updated project files for Mongo.Tests to remove references to deleted files.
- Upgraded BouncyCastle.Cryptography package to version 2.6.2 across multiple projects.
- Replaced Microsoft.Extensions.Http.Polly with Microsoft.Extensions.Http.Resilience in Zastava.Webhook project.
- Updated NetEscapades.Configuration.Yaml package to version 3.1.0 in Configuration library.
- Upgraded Pkcs11Interop package to version 5.1.2 in Cryptography libraries.
- Refactored Argon2idPasswordHasher to use BouncyCastle for hashing instead of Konscious.
- Updated JsonSchema.Net package to version 7.3.2 in Microservice project.
- Updated global.json to use .NET SDK version 10.0.101.
- Introduced `NativeTestBase` class for ELF, PE, and Mach-O binary parsing helpers and assertions.
- Created `TestCryptoFactory` for SM2 cryptographic provider setup and key generation.
- Implemented `Sm2SigningTests` to validate signing functionality with environment gate checks.
- Developed console export service and store with comprehensive unit tests for export status management.
- 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.
