- Add intel_service.py: RSS feed scanner for threat intelligence
Searches CISA, NIST NVD, SANS ISC, BleepingComputer, The Hacker News,
Krebs on Security for mentions of MITRE technique IDs and names
- New intel items stored in intel_items table with URL deduplication
- Techniques with new intel flagged with review_required=True
- Add POST /system/run-intel-scan endpoint (admin only)
- Register weekly intel scan job in APScheduler (every 7 days)
- Audit log records each scan execution with summary stats
- Update README with new endpoint and project structure
- Add MITRE sync service via TAXII 2.0 with GitHub fallback
- Upsert attack-pattern objects into techniques table (691 techniques)
- Detect name/description changes and flag review_required on re-sync
- Add APScheduler background job running every 24h
- Add POST /system/sync-mitre endpoint (admin only)
- Add GET /system/scheduler-status endpoint (admin only)
- Configure logging for scheduler and sync visibility
- Update README with new endpoints and project structure
- Add Pydantic schemas for Technique, Test and Evidence
- Add CRUD endpoints for Techniques (list with filters, detail, create, update, review)
- Add CRUD endpoints for Tests (create, detail, update, validate, reject)
- Add evidence upload with SHA-256 integrity and presigned download URLs
- Add MinIO/S3 storage client with bucket auto-creation on startup
- Add status_service to recalculate technique coverage from test results
- Add require_any_role RBAC dependency for multi-role authorization
- Update README with API endpoints reference and project structure
Implements all database models for the Aegis platform with full
Alembic migration support.
Models created:
- User: Authentication with role-based access control
- Technique: MITRE ATT&CK techniques with coverage status tracking
- Test: Security tests with validation workflow (draft/review/validated)
- Evidence: File metadata for test evidence (stored in MinIO)
- IntelItem: Threat intelligence items linked to techniques
- AuditLog: System-wide audit trail with JSONB details
Enumerations:
- TechniqueStatus: not_evaluated, in_progress, validated, partial, etc.
- TestState: draft, in_review, validated, rejected
- TestResult: detected, not_detected, partially_detected
Services:
- audit_service.py: log_action() helper for audit logging
All models include proper foreign key relationships and PostgreSQL
enum types are managed correctly in migrations (create/drop).
