- Implemented comprehensive tests for verdict artifact generation to ensure deterministic outputs across various scenarios, including identical inputs, parallel execution, and change ordering.
- Created helper methods for generating sample verdict inputs and computing canonical hashes.
- Added tests to validate the stability of canonical hashes, proof spine ordering, and summary statistics.
- Introduced a new PowerShell script to update SHA256 sums for files, ensuring accurate hash generation and file integrity checks.
- Created `StellaOps.AuditPack.Tests.csproj` for unit testing the AuditPack library.
- Implemented comprehensive unit tests in `index.test.js` for AST parsing, covering various JavaScript and TypeScript constructs including functions, classes, decorators, and JSX.
- Added `sink-detect.test.js` to test security sink detection patterns, validating command injection, SQL injection, file write, deserialization, SSRF, NoSQL injection, and more.
- Included tests for taint source detection in various contexts such as Express, Koa, and AWS Lambda.
- 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.
- 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.
