MAJOR: Transform web application to professional CLI-based SIGMA rule generator
🎉 **Architecture Transformation (v2.0)** - Complete migration from web app to professional CLI tool - File-based SIGMA rule management system - Git-friendly directory structure organized by year/CVE-ID - Multiple rule variants per CVE (template, LLM, hybrid) ✨ **New CLI System** - Professional command-line interface with Click framework - 8 command groups: process, generate, search, stats, export, migrate - Modular command architecture for maintainability - Comprehensive help system and configuration management 📁 **File-Based Storage Architecture** - Individual CVE directories: cves/YEAR/CVE-ID/ - Multiple SIGMA rule variants per CVE - JSON metadata with processing history and PoC data - Native YAML files perfect for version control 🚀 **Core CLI Commands** - process: CVE processing and bulk operations - generate: SIGMA rule generation with multiple methods - search: Advanced CVE and rule searching with filters - stats: Comprehensive statistics and analytics - export: Multiple output formats for different workflows - migrate: Database-to-file migration tools 🔧 **Migration Support** - Complete migration utilities from web database - Data validation and integrity checking - Backward compatibility with existing processors - Legacy web interface maintained for transition 📊 **Enhanced Features** - Advanced search with complex filtering (severity, PoC presence, etc.) - Multi-format exports (YAML, JSON, CSV) - Comprehensive statistics and coverage reports - File-based rule versioning and management 🎯 **Production Benefits** - No database dependency - runs anywhere - Perfect for cybersecurity teams using git workflows - Direct integration with SIGMA ecosystems - Portable architecture for CI/CD pipelines - Multiple rule variants for different detection scenarios 📝 **Documentation Updates** - Complete README rewrite for CLI-first approach - Updated CLAUDE.md with new architecture details - Detailed CLI documentation with examples - Migration guides and troubleshooting **Perfect for security teams wanting production-ready SIGMA rules with version control\! 🛡️** 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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CLAUDE.md
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CLAUDE.md
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@ -2,124 +2,120 @@
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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## Project Overview - CLI-Based Architecture (v2.0)
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This is an enhanced CVE-SIGMA Auto Generator that automatically processes comprehensive CVE data and generates SIGMA rules for threat detection. The application now supports:
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This is an enhanced CVE-SIGMA Auto Generator that has been **transformed from a web application to a professional CLI tool** with file-based SIGMA rule management. The system now supports:
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1. **Bulk NVD Data Processing**: Downloads and processes complete NVD JSON datasets (2002-2025)
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2. **nomi-sec PoC Integration**: Uses curated PoC data from github.com/nomi-sec/PoC-in-GitHub
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3. **Enhanced SIGMA Rule Generation**: Creates intelligent rules based on real exploit indicators
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4. **Comprehensive Database Seeding**: Supports both bulk and incremental data updates
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## Architecture
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## Architecture - CLI-Based System
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### **Current Primary Architecture (v2.0)**
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- **CLI Interface**: Professional command-line tool (`cli/sigma_cli.py`) with modular commands
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- **File-Based Storage**: Git-friendly YAML and JSON files organized by year/CVE-ID
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- **Directory Structure**:
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- `cves/YEAR/CVE-ID/`: Individual CVE directories with metadata and multiple rule variants
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- `cli/commands/`: Modular command system (process, generate, search, stats, export, migrate)
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- `reports/`: Generated statistics and export outputs
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- **Data Processing**:
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- Reuses existing backend processors for CVE fetching and analysis
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- File-based rule generation with multiple variants per CVE
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- CLI-driven bulk operations and incremental updates
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- **Storage Format**:
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- `metadata.json`: CVE information, PoC data, processing history
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- `rule_*.sigma`: Multiple SIGMA rule variants (template, LLM, hybrid)
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- `poc_analysis.json`: Extracted exploit indicators and analysis
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### **Legacy Web Architecture (Optional, for Migration)**
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- **Backend**: FastAPI with SQLAlchemy ORM (`backend/main.py`)
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- **Frontend**: React with Tailwind CSS (`frontend/src/App.js`)
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- **Database**: PostgreSQL with enhanced schema:
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- `cves`: CVE information with PoC metadata and bulk processing fields
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- `sigma_rules`: Enhanced SIGMA rules with quality scoring and nomi-sec data
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- `rule_templates`: Template patterns for rule generation
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- `bulk_processing_jobs`: Job tracking for bulk operations
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- **Data Processing**:
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- `nvd_bulk_processor.py`: NVD JSON dataset downloader and processor
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- `nomi_sec_client.py`: nomi-sec PoC-in-GitHub API integration
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- `enhanced_sigma_generator.py`: Advanced SIGMA rule generation
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- `bulk_seeder.py`: Coordinated bulk seeding operations
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- **Database**: PostgreSQL (used only for migration to file-based system)
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- **Cache**: Redis (optional)
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- **Deployment**: Docker Compose orchestration
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- **Deployment**: Docker Compose (maintained for migration purposes)
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## Common Development Commands
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### Quick Start
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### **CLI Quick Start (Recommended)**
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```bash
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# Recommended quick start
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chmod +x start.sh
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./start.sh
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# Install CLI dependencies
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pip install -r cli/requirements.txt
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# Or using Make
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make start
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# Make CLI executable
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chmod +x cli/sigma_cli.py
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# Initialize configuration
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./cli/sigma_cli.py config-init
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# Test CLI installation
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./cli/sigma_cli.py --help
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```
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### Build and Run
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### **CLI Primary Operations**
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```bash
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# Build and start all services
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docker-compose up -d --build
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# Process CVEs and generate SIGMA rules
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./cli/sigma_cli.py process year 2024 # Process specific year
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./cli/sigma_cli.py process cve CVE-2024-0001 # Process specific CVE
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./cli/sigma_cli.py process bulk --start-year 2020 # Bulk process years
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./cli/sigma_cli.py process incremental --days 7 # Process recent changes
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# Start individual services
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docker-compose up -d db redis # Database and cache only
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docker-compose up -d backend # Backend API
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docker-compose up -d frontend # React frontend
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# Generate rules for existing CVEs
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./cli/sigma_cli.py generate cve CVE-2024-0001 --method all
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./cli/sigma_cli.py generate regenerate --year 2024 --method llm
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# Search and analyze
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./cli/sigma_cli.py search cve "buffer overflow" --severity critical --has-poc
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./cli/sigma_cli.py search rules "powershell" --method llm
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# Statistics and reports
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./cli/sigma_cli.py stats overview --year 2024
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./cli/sigma_cli.py stats poc --year 2024
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./cli/sigma_cli.py stats rules --method template
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# Export data
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./cli/sigma_cli.py export sigma ./output-rules --format yaml --year 2024
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./cli/sigma_cli.py export metadata ./reports/cve-data.csv --format csv
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```
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### Development Mode
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### **Migration from Web Application**
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```bash
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# Using Make
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make dev
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# Migrate existing database to file structure
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./cli/sigma_cli.py migrate from-database --database-url "postgresql://user:pass@localhost:5432/db"
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# Or manually
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docker-compose up -d db redis
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cd backend && pip install -r requirements.txt && uvicorn main:app --reload
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cd frontend && npm install && npm start
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# Validate migrated data
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./cli/sigma_cli.py migrate validate --year 2024
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# Check migration statistics
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./cli/sigma_cli.py stats overview
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```
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### Bulk Processing Commands
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### **Legacy Web Interface (Optional)**
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```bash
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# Run bulk seeding standalone
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cd backend && python bulk_seeder.py
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# Start legacy web interface (for migration only)
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docker-compose up -d db redis backend frontend
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# Bulk seed specific year range
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cd backend && python -c "
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import asyncio
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from bulk_seeder import BulkSeeder
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from main import SessionLocal
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seeder = BulkSeeder(SessionLocal())
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asyncio.run(seeder.full_bulk_seed(start_year=2020, end_year=2025))
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"
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# Incremental update only
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cd backend && python -c "
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import asyncio
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from bulk_seeder import BulkSeeder
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from main import SessionLocal
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seeder = BulkSeeder(SessionLocal())
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asyncio.run(seeder.incremental_update())
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"
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# Access points:
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# - Frontend: http://localhost:3000
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# - API: http://localhost:8000
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# - API Docs: http://localhost:8000/docs
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# - Flower (Celery): http://localhost:5555
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```
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### Frontend Commands
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### **Development and Testing**
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```bash
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cd frontend
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npm install # Install dependencies
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npm start # Development server (port 3000)
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npm run build # Production build
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npm test # Run tests
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```
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# CLI with verbose logging
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./cli/sigma_cli.py --verbose process year 2024
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### Backend Commands
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```bash
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cd backend
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pip install -r requirements.txt
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uvicorn main:app --reload # Development server (port 8000)
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uvicorn main:app --host 0.0.0.0 --port 8000 # Production server
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```
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# Test individual commands
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./cli/sigma_cli.py version
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./cli/sigma_cli.py config-init
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./cli/sigma_cli.py stats overview
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### Database Operations
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```bash
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# Connect to database
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docker-compose exec db psql -U cve_user -d cve_sigma_db
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# View logs
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docker-compose logs -f backend
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docker-compose logs -f frontend
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```
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### Other Make Commands
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```bash
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make stop # Stop all services
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make restart # Restart all services
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make logs # View application logs
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make clean # Clean up containers and volumes
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make setup # Initial setup (creates .env from .env.example)
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# Check file structure
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ls -la cves/2024/ # View processed CVEs
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ls -la cves/2024/CVE-2024-0001/ # View individual CVE files
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```
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## Key Configuration
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- `DATABASE_URL`: PostgreSQL connection string
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- `REACT_APP_API_URL`: Backend API URL for frontend
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### Service URLs
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### CLI Configuration
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- **Configuration File**: `~/.sigma-cli/config.yaml` (auto-created with `config-init`)
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- **Directory Structure**:
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- `cves/YEAR/CVE-ID/`: Individual CVE data and rules
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- `reports/`: Generated statistics and exports
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- `cli/`: Command-line tool and modules
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### Legacy Service URLs (If Using Web Interface)
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- Frontend: http://localhost:3000
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- Backend API: http://localhost:8000
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- API Documentation: http://localhost:8000/docs
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## Code Architecture Details
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### Enhanced Backend Structure
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- **main.py**: Core FastAPI application with enhanced endpoints
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- **nvd_bulk_processor.py**: NVD JSON dataset downloader and processor
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- **nomi_sec_client.py**: nomi-sec PoC-in-GitHub API integration
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- **enhanced_sigma_generator.py**: Advanced SIGMA rule generation with PoC data
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- **llm_client.py**: Multi-provider LLM integration using LangChain for AI-enhanced rule generation
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- **bulk_seeder.py**: Coordinated bulk processing operations
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### **CLI Structure (Primary)**
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- **cli/sigma_cli.py**: Main executable CLI with Click framework
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- **cli/commands/**: Modular command system
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- `base_command.py`: Common functionality and file operations
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- `process_commands.py`: CVE processing and bulk operations
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- `generate_commands.py`: SIGMA rule generation
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- `search_commands.py`: Search and filtering
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- `stats_commands.py`: Statistics and reporting
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- `export_commands.py`: Data export in multiple formats
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- `migrate_commands.py`: Database migration tools
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- **cli/config/**: Configuration management
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- **cli/README.md**: Detailed CLI documentation
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### Database Models (Enhanced)
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- **CVE**: Enhanced with `poc_count`, `poc_data`, `bulk_processed`, `data_source`
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- **SigmaRule**: Enhanced with `poc_source`, `poc_quality_score`, `nomi_sec_data`
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- **RuleTemplate**: Template patterns for rule generation
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- **BulkProcessingJob**: Job tracking for bulk operations
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### **File-Based Storage Structure**
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- **CVE Directories**: `cves/YEAR/CVE-ID/` with individual metadata and rule files
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- **Rule Variants**: Multiple SIGMA files per CVE (template, LLM, hybrid)
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- **Metadata Format**: JSON files with processing history and PoC data
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- **Reports**: Generated statistics and export outputs
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### Frontend Structure (Enhanced)
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- **Three Main Tabs**: Dashboard, CVEs, SIGMA Rules
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- **Enhanced Dashboard**: PoC coverage statistics, data synchronization controls
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- **Enhanced CVE/Rule Display**: PoC quality indicators, exploit-based tagging
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- **Task Monitoring**: Via Flower dashboard (http://localhost:5555)
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### **Legacy Backend Structure (For Migration)**
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- **main.py**: Core FastAPI application (maintained for migration)
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- **Data Processors**: Reused by CLI for CVE fetching and analysis
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- `nvd_bulk_processor.py`: NVD JSON dataset processing
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- `nomi_sec_client.py`: nomi-sec PoC integration
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- `enhanced_sigma_generator.py`: SIGMA rule generation
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- `llm_client.py`: Multi-provider LLM integration
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### Data Processing Flow
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### **CLI-Based Data Processing Flow**
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1. **CVE Processing**: NVD data fetch → File storage → PoC analysis → Metadata generation
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2. **Rule Generation**: Template/LLM/Hybrid generation → Multiple rule variants → File storage
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3. **Search & Analysis**: File-based searching → Statistics generation → Export capabilities
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4. **Migration Support**: Database export → File conversion → Validation → Cleanup
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### **Legacy Web Processing Flow (For Reference)**
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1. **Bulk Seeding**: NVD JSON downloads → Database storage → nomi-sec PoC sync → Enhanced rule generation
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2. **Incremental Updates**: NVD modified feeds → Update existing data → Sync new PoCs
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3. **Rule Enhancement**: PoC analysis → Indicator extraction → Template selection → Enhanced SIGMA rule
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README.md
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README.md
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# CVE-SIGMA Auto Generator
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# CVE-SIGMA Auto Generator - CLI Edition
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Automated platform that generates SIGMA detection rules from CVE data using AI-enhanced exploit analysis.
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**Professional file-based SIGMA rule generation system for cybersecurity workflows**
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Automated CLI tool that generates SIGMA detection rules from CVE data using AI-enhanced exploit analysis. Now optimized for git workflows and production SIGMA rule management with a file-based architecture.
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## 🌟 **Major Architecture Update**
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**🎉 New in v2.0**: Transformed from web application to professional CLI tool with file-based SIGMA rule management!
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- **Git-Friendly**: Native YAML files perfect for version control
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- **Industry Standard**: Direct integration with SIGMA ecosystems
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- **Portable**: No database dependency, works anywhere
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- **Scalable**: Process specific years/CVEs as needed
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- **Multiple Variants**: Different generation methods per CVE
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## ✨ Key Features
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- **Bulk CVE Processing**: Complete NVD datasets (2002-2025) with nomi-sec PoC integration
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- **AI-Powered Rule Generation**: Multi-provider LLM support (OpenAI, Anthropic, local Ollama)
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- **File-Based Storage**: Organized directory structure for each CVE and rule variant
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- **Quality-Based PoC Analysis**: 5-tier quality scoring system for exploit reliability
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- **Real-time Monitoring**: Live job tracking and progress dashboard
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- **Advanced Indicators**: Extract processes, files, network patterns from actual exploits
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- **Advanced Search & Filtering**: Find CVEs and rules with complex criteria
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- **Comprehensive Statistics**: Coverage reports and generation analytics
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- **Export Tools**: Multiple output formats for different workflows
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## 🚀 Quick Start
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### Prerequisites
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- Docker and Docker Compose
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- Python 3.8+ with pip
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- (Optional) Docker for legacy web interface
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- (Optional) API keys for enhanced features
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### Installation
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```bash
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# Clone and start
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# Clone repository
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git clone <repository-url>
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cd auto_sigma_rule_generator
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chmod +x start.sh
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./start.sh
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# Install CLI dependencies
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pip install -r cli/requirements.txt
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# Make CLI executable
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chmod +x cli/sigma_cli.py
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# Initialize configuration
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./cli/sigma_cli.py config-init
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```
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**Access Points:**
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- Frontend: http://localhost:3000
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- API: http://localhost:8000
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- API Docs: http://localhost:8000/docs
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### First Run - Migration from Web App (If Applicable)
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### First Run
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The application automatically:
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1. Initializes database with rule templates
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2. Fetches recent CVEs from NVD
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3. Generates SIGMA rules with AI enhancement
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4. Polls for new CVEs hourly
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## 🎯 Usage
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### Web Interface
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- **Dashboard**: Statistics and system overview
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- **CVEs**: Complete CVE listing with PoC data
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- **SIGMA Rules**: Generated detection rules
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- **Bulk Jobs**: Processing status and controls
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### API Endpoints
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#### Core Operations
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```bash
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# Fetch CVEs
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curl -X POST http://localhost:8000/api/fetch-cves
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# If migrating from previous web version
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./cli/sigma_cli.py migrate from-database --database-url "postgresql://user:pass@localhost:5432/db"
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# Bulk processing
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curl -X POST http://localhost:8000/api/bulk-seed
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curl -X POST http://localhost:8000/api/incremental-update
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# Validate migration
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./cli/sigma_cli.py migrate validate
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# LLM-enhanced rules
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curl -X POST http://localhost:8000/api/llm-enhanced-rules
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# Or start fresh with new CVE processing
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./cli/sigma_cli.py process year 2024
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```
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#### Data Access
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- `GET /api/cves` - List CVEs
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- `GET /api/sigma-rules` - List rules
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- `GET /api/stats` - Statistics
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- `GET /api/llm-status` - LLM provider status
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## 🎯 CLI Usage
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## ⚙️ Configuration
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### **Core Commands**
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### Environment Variables
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**Core Settings**
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```bash
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DATABASE_URL=postgresql://user:pass@db:5432/dbname
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NVD_API_KEY=your_nvd_key # Optional: 5→50 req/30s
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GITHUB_TOKEN=your_github_token # Optional: Enhanced PoC analysis
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# Process CVEs and generate rules
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./cli/sigma_cli.py process year 2024 # Process specific year
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./cli/sigma_cli.py process cve CVE-2024-0001 # Process specific CVE
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./cli/sigma_cli.py process bulk --start-year 2020 # Bulk process multiple years
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./cli/sigma_cli.py process incremental --days 7 # Process recent changes
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# Generate rules for existing CVEs
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./cli/sigma_cli.py generate cve CVE-2024-0001 --method all # All generation methods
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./cli/sigma_cli.py generate regenerate --year 2024 --method llm # Regenerate with LLM
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# Search CVEs and rules
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./cli/sigma_cli.py search cve "buffer overflow" --severity critical --has-poc
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./cli/sigma_cli.py search rules "powershell" --method llm
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# View statistics and reports
|
||||
./cli/sigma_cli.py stats overview --year 2024 --output ./reports/2024-stats.json
|
||||
./cli/sigma_cli.py stats poc --year 2024 # PoC coverage statistics
|
||||
./cli/sigma_cli.py stats rules --method template # Rule generation statistics
|
||||
|
||||
# Export data
|
||||
./cli/sigma_cli.py export sigma ./output-rules --format yaml --year 2024
|
||||
./cli/sigma_cli.py export metadata ./reports/cve-data.csv --format csv
|
||||
```
|
||||
|
||||
**LLM Configuration**
|
||||
```bash
|
||||
LLM_PROVIDER=ollama # Default: ollama (local)
|
||||
LLM_MODEL=llama3.2 # Provider-specific model
|
||||
OLLAMA_BASE_URL=http://ollama:11434
|
||||
### **Available Generation Methods**
|
||||
- `template` - Template-based rule generation
|
||||
- `llm` - AI/LLM-enhanced generation (OpenAI, Anthropic, Ollama)
|
||||
- `hybrid` - Combined template + LLM approach
|
||||
- `all` - Generate all variants
|
||||
|
||||
# External providers (optional)
|
||||
OPENAI_API_KEY=your_openai_key
|
||||
ANTHROPIC_API_KEY=your_anthropic_key
|
||||
## 📁 File Structure
|
||||
|
||||
The CLI organizes everything in a clean, git-friendly structure:
|
||||
|
||||
```
|
||||
auto_sigma_rule_generator/
|
||||
├── cves/ # CVE data organized by year
|
||||
│ ├── 2024/
|
||||
│ │ ├── CVE-2024-0001/
|
||||
│ │ │ ├── metadata.json # CVE info & generation metadata
|
||||
│ │ │ ├── rule_template.sigma # Template-based rule
|
||||
│ │ │ ├── rule_llm_openai.sigma # OpenAI-generated rule
|
||||
│ │ │ ├── rule_llm_anthropic.sigma# Anthropic-generated rule
|
||||
│ │ │ ├── rule_hybrid.sigma # Hybrid-generated rule
|
||||
│ │ │ └── poc_analysis.json # PoC analysis data
|
||||
│ │ └── CVE-2024-0002/...
|
||||
│ └── 2023/...
|
||||
├── cli/ # CLI tool and commands
|
||||
│ ├── sigma_cli.py # Main CLI executable
|
||||
│ ├── commands/ # Command modules
|
||||
│ └── README.md # Detailed CLI documentation
|
||||
└── reports/ # Generated reports and exports
|
||||
```
|
||||
|
||||
### API Keys Setup
|
||||
### **File Formats**
|
||||
|
||||
**NVD API** (Recommended)
|
||||
1. Get key: https://nvd.nist.gov/developers/request-an-api-key
|
||||
2. Add to `.env`: `NVD_API_KEY=your_key`
|
||||
3. Benefit: 10x rate limit increase
|
||||
**metadata.json** - CVE information and processing history
|
||||
```json
|
||||
{
|
||||
"cve_info": {
|
||||
"cve_id": "CVE-2024-0001",
|
||||
"description": "Remote code execution vulnerability...",
|
||||
"cvss_score": 9.8,
|
||||
"severity": "critical",
|
||||
"published_date": "2024-01-01T00:00:00Z"
|
||||
},
|
||||
"poc_data": {
|
||||
"poc_count": 3,
|
||||
"poc_data": {"nomi_sec": [...], "github": [...]}
|
||||
},
|
||||
"rule_generation": {
|
||||
"template": {"generated_at": "2024-01-01T12:00:00Z"},
|
||||
"llm_openai": {"generated_at": "2024-01-01T12:30:00Z"}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**GitHub Token** (Optional)
|
||||
1. Create: https://github.com/settings/tokens (public_repo scope)
|
||||
2. Add to `.env`: `GITHUB_TOKEN=your_token`
|
||||
3. Benefit: Enhanced exploit-based rules
|
||||
|
||||
**LLM APIs** (Optional)
|
||||
- **Local Ollama**: No setup required (default)
|
||||
- **OpenAI**: Get key from https://platform.openai.com/api-keys
|
||||
- **Anthropic**: Get key from https://console.anthropic.com/
|
||||
|
||||
## 🧠 Rule Generation
|
||||
|
||||
### AI-Enhanced Generation
|
||||
1. **PoC Analysis**: LLM analyzes actual exploit code
|
||||
2. **Intelligent Detection**: Creates sophisticated SIGMA rules
|
||||
3. **Context Awareness**: Maps CVE descriptions to detection patterns
|
||||
4. **Validation**: Automatic SIGMA syntax verification
|
||||
5. **Fallback**: Template-based generation if LLM unavailable
|
||||
|
||||
### Quality Tiers
|
||||
- **Excellent** (80+ pts): High-quality PoCs with recent updates
|
||||
- **Good** (60-79 pts): Moderate quality indicators
|
||||
- **Fair** (40-59 pts): Basic PoCs with some validation
|
||||
- **Poor** (20-39 pts): Minimal quality indicators
|
||||
- **Very Poor** (<20 pts): Low-quality PoCs
|
||||
|
||||
### Rule Types
|
||||
- 🤖 **AI-Enhanced**: LLM-generated with PoC analysis
|
||||
- 🔍 **Exploit-Based**: Template + GitHub exploit indicators
|
||||
- ⚡ **Basic**: CVE description only
|
||||
|
||||
### Example Output
|
||||
**SIGMA Rule Files** - Ready-to-use detection rules
|
||||
```yaml
|
||||
title: CVE-2025-1234 AI-Enhanced Detection
|
||||
description: Detection for CVE-2025-1234 RCE [AI-Enhanced with PoC analysis]
|
||||
# rule_llm_openai.sigma
|
||||
title: CVE-2024-0001 Remote Code Execution Detection
|
||||
id: 12345678-1234-5678-9abc-123456789012
|
||||
status: experimental
|
||||
description: Detects exploitation attempts for CVE-2024-0001
|
||||
author: CVE-SIGMA Auto Generator (OpenAI Enhanced)
|
||||
date: 2024/01/01
|
||||
references:
|
||||
- https://nvd.nist.gov/vuln/detail/CVE-2024-0001
|
||||
tags:
|
||||
- attack.t1059.001
|
||||
- cve-2025-1234
|
||||
- cve.2024.0001
|
||||
- ai.enhanced
|
||||
logsource:
|
||||
category: process_creation
|
||||
product: windows
|
||||
detection:
|
||||
selection_process:
|
||||
selection:
|
||||
Image|endswith: '\powershell.exe'
|
||||
CommandLine|contains:
|
||||
- '-EncodedCommand'
|
||||
- 'bypass'
|
||||
selection_network:
|
||||
DestinationPort: [443, 80]
|
||||
condition: selection_process and selection_network
|
||||
condition: selection
|
||||
falsepositives:
|
||||
- Legitimate administrative scripts
|
||||
level: high
|
||||
```
|
||||
|
||||
## 🛠️ Development
|
||||
## ⚙️ Configuration
|
||||
|
||||
### Local Development
|
||||
```bash
|
||||
# Start dependencies
|
||||
docker-compose up -d db redis ollama
|
||||
### CLI Configuration (`~/.sigma-cli/config.yaml`)
|
||||
|
||||
# Backend
|
||||
cd backend && pip install -r requirements.txt
|
||||
uvicorn main:app --reload
|
||||
```yaml
|
||||
# API Keys for enhanced functionality
|
||||
api_keys:
|
||||
nvd_api_key: "your_nvd_key" # Optional: 5→50 req/30s rate limit
|
||||
github_token: "your_github_token" # Optional: Enhanced PoC analysis
|
||||
openai_api_key: "your_openai_key" # Optional: AI rule generation
|
||||
anthropic_api_key: "your_anthropic_key" # Optional: AI rule generation
|
||||
|
||||
# Frontend
|
||||
cd frontend && npm install && npm start
|
||||
# LLM Settings
|
||||
llm_settings:
|
||||
default_provider: "ollama" # Default: ollama (local)
|
||||
default_model: "llama3.2" # Provider-specific model
|
||||
ollama_base_url: "http://localhost:11434"
|
||||
|
||||
# Processing Settings
|
||||
processing:
|
||||
default_batch_size: 50 # CVEs per batch
|
||||
default_methods: ["template"] # Default generation methods
|
||||
```
|
||||
|
||||
### Testing LLM Integration
|
||||
### API Keys Setup
|
||||
|
||||
**NVD API Key** (Recommended)
|
||||
- Get key: https://nvd.nist.gov/developers/request-an-api-key
|
||||
- Benefit: 10x rate limit increase (5 → 50 requests/30s)
|
||||
|
||||
**GitHub Token** (Optional)
|
||||
- Create: https://github.com/settings/tokens (public_repo scope)
|
||||
- Benefit: Enhanced PoC analysis and exploit indicators
|
||||
|
||||
**LLM APIs** (Optional)
|
||||
- **Local Ollama**: No setup required (default) - runs locally
|
||||
- **OpenAI**: Get key from https://platform.openai.com/api-keys
|
||||
- **Anthropic**: Get key from https://console.anthropic.com/
|
||||
|
||||
## 🧠 AI-Enhanced Rule Generation
|
||||
|
||||
### How It Works
|
||||
1. **CVE Analysis**: Extract vulnerability details from NVD data
|
||||
2. **PoC Collection**: Gather exploit code from nomi-sec, GitHub, ExploitDB
|
||||
3. **Quality Assessment**: Score PoCs based on stars, recency, completeness
|
||||
4. **AI Enhancement**: LLM analyzes actual exploit code to create detection logic
|
||||
5. **SIGMA Generation**: Produce valid, tested SIGMA rules with proper syntax
|
||||
6. **Multi-Variant Output**: Generate template, LLM, and hybrid versions
|
||||
|
||||
### Quality Tiers
|
||||
- **Excellent** (80+ pts): High-star PoCs with recent updates, detailed analysis
|
||||
- **Good** (60-79 pts): Moderate quality with some validation
|
||||
- **Fair** (40-59 pts): Basic PoCs with minimal indicators
|
||||
- **Poor** (20-39 pts): Low-quality or outdated PoCs
|
||||
- **Very Poor** (<20 pts): Minimal or unreliable PoCs
|
||||
|
||||
### Rule Variants Generated
|
||||
- 🤖 **AI-Enhanced** (`rule_llm_*.sigma`): LLM analysis of actual exploit code
|
||||
- 🔧 **Template-Based** (`rule_template.sigma`): Pattern-based generation
|
||||
- ⚡ **Hybrid** (`rule_hybrid.sigma`): Best of both approaches
|
||||
|
||||
## 📊 Advanced Features
|
||||
|
||||
### Search & Analytics
|
||||
```bash
|
||||
# Check Ollama
|
||||
curl http://localhost:11434/api/tags
|
||||
# Complex CVE searches
|
||||
./cli/sigma_cli.py search cve "remote code execution" \
|
||||
--year 2024 --severity critical --has-poc --has-rules --limit 50
|
||||
|
||||
# Test LLM status
|
||||
curl http://localhost:8000/api/llm-status
|
||||
# Rule analysis
|
||||
./cli/sigma_cli.py search rules "powershell" \
|
||||
--rule-type process --method llm --limit 20
|
||||
|
||||
# Switch providers
|
||||
curl -X POST http://localhost:8000/api/llm-switch \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"provider": "ollama", "model": "llama3.2"}'
|
||||
# Comprehensive statistics
|
||||
./cli/sigma_cli.py stats overview # Overall system stats
|
||||
./cli/sigma_cli.py stats poc --year 2024 # PoC coverage analysis
|
||||
./cli/sigma_cli.py stats rules --method llm # AI generation statistics
|
||||
```
|
||||
|
||||
## 📊 Architecture
|
||||
### Export & Integration
|
||||
```bash
|
||||
# Export for SIEM integration
|
||||
./cli/sigma_cli.py export sigma ./siem-rules \
|
||||
--format yaml --year 2024 --method llm
|
||||
|
||||
- **Backend**: FastAPI + SQLAlchemy ORM
|
||||
- **Frontend**: React + Tailwind CSS
|
||||
- **Database**: PostgreSQL with enhanced schema
|
||||
- **Cache**: Redis (optional)
|
||||
- **LLM**: Ollama container + multi-provider support
|
||||
- **Deployment**: Docker Compose
|
||||
# Metadata for analysis
|
||||
./cli/sigma_cli.py export metadata ./analysis/cve-data.csv \
|
||||
--format csv --year 2024
|
||||
|
||||
### Enhanced Database Schema
|
||||
- **CVEs**: PoC metadata, bulk processing fields
|
||||
- **SIGMA Rules**: Quality scoring, nomi-sec data
|
||||
- **Rule Templates**: Pattern templates for generation
|
||||
- **Bulk Jobs**: Job tracking and status
|
||||
# Consolidated ruleset
|
||||
./cli/sigma_cli.py export ruleset ./complete-rules.json \
|
||||
--year 2024 --include-metadata
|
||||
```
|
||||
|
||||
## 🛠️ Development & Legacy Support
|
||||
|
||||
### CLI Development
|
||||
The new CLI system is built with:
|
||||
- **Click**: Professional CLI framework
|
||||
- **Modular Commands**: Separate modules for each command group
|
||||
- **Async Processing**: Efficient handling of bulk operations
|
||||
- **File-Based Storage**: Git-friendly YAML and JSON formats
|
||||
|
||||
### Legacy Web Interface (Optional)
|
||||
The original web interface is still available for migration purposes:
|
||||
|
||||
```bash
|
||||
# Start legacy web interface (if needed for migration)
|
||||
docker-compose up -d db redis backend frontend
|
||||
|
||||
# Access points:
|
||||
# - Frontend: http://localhost:3000
|
||||
# - API: http://localhost:8000
|
||||
# - Flower (Celery): http://localhost:5555
|
||||
```
|
||||
|
||||
### Migration Path
|
||||
1. **Export Data**: Use CLI migration tools to export from database
|
||||
2. **Validate**: Verify all data transferred correctly
|
||||
3. **Switch**: Use CLI for all new operations
|
||||
4. **Cleanup**: Optionally remove web components
|
||||
|
||||
## 🔧 Troubleshooting
|
||||
|
||||
### Common Issues
|
||||
|
||||
**CVE Fetch Issues**
|
||||
- Verify NVD API key in `.env`
|
||||
- Check API connectivity: Use "Test NVD API" button
|
||||
- Review logs: `docker-compose logs -f backend`
|
||||
**CLI Import Errors**
|
||||
- Ensure you're running from project root directory
|
||||
- Install dependencies: `pip install -r cli/requirements.txt`
|
||||
- Check Python version (3.8+ required)
|
||||
|
||||
**CVE Processing Failures**
|
||||
- Verify NVD API key in configuration
|
||||
- Check network connectivity and rate limits
|
||||
- Use `--verbose` flag for detailed logging
|
||||
|
||||
**No Rules Generated**
|
||||
- Ensure LLM provider is accessible
|
||||
- Check `/api/llm-status` for provider health
|
||||
- Verify PoC data quality in CVE details
|
||||
- Ensure LLM provider is accessible (test with `./cli/sigma_cli.py stats overview`)
|
||||
- Check PoC data availability with `--has-poc` filter
|
||||
- Verify API keys for external LLM providers
|
||||
|
||||
**Performance Issues**
|
||||
- Start with recent years (2020+) for faster initial setup
|
||||
- Use smaller batch sizes for bulk operations
|
||||
- Monitor system resources during processing
|
||||
**File Permission Issues**
|
||||
- Ensure write permissions to `cves/` directory
|
||||
- Check CLI executable permissions: `chmod +x cli/sigma_cli.py`
|
||||
|
||||
**Port Conflicts**
|
||||
- Default ports: 3000 (frontend), 8000 (backend), 5432 (db)
|
||||
- Modify `docker-compose.yml` if ports are in use
|
||||
### Performance Optimization
|
||||
- Use `--batch-size` parameter for large datasets
|
||||
- Process recent years first (2020+) for faster initial results
|
||||
- Use `incremental` processing for regular updates
|
||||
- Monitor system resources during bulk operations
|
||||
|
||||
### Rate Limits
|
||||
- **NVD API**: 5/30s (no key) → 50/30s (with key)
|
||||
- **nomi-sec API**: 1/second (built-in limiting)
|
||||
- **GitHub API**: 60/hour (no token) → 5000/hour (with token)
|
||||
## 🛡️ Security Best Practices
|
||||
|
||||
## 🛡️ Security
|
||||
- Store API keys in configuration file (`~/.sigma-cli/config.yaml`)
|
||||
- Validate generated rules before production deployment
|
||||
- Rules marked as "experimental" require analyst review
|
||||
- Use version control to track rule changes and improvements
|
||||
- Regularly update PoC data sources for current threat landscape
|
||||
|
||||
- Store API keys in environment variables
|
||||
- Validate generated rules before production deployment
|
||||
- Rules marked as "experimental" - require analyst review
|
||||
- Use strong database passwords in production
|
||||
|
||||
## 📈 Monitoring
|
||||
## 📈 Monitoring & Maintenance
|
||||
|
||||
```bash
|
||||
# View logs
|
||||
docker-compose logs -f backend
|
||||
docker-compose logs -f frontend
|
||||
# System health checks
|
||||
./cli/sigma_cli.py stats overview # Overall system status
|
||||
./cli/sigma_cli.py migrate validate # Data integrity check
|
||||
|
||||
# Check service health
|
||||
docker-compose ps
|
||||
# Regular maintenance
|
||||
./cli/sigma_cli.py process incremental --days 7 # Weekly updates
|
||||
./cli/sigma_cli.py generate regenerate --filter-quality excellent # Refresh high-quality rules
|
||||
|
||||
# Monitor bulk jobs
|
||||
curl http://localhost:8000/api/bulk-status
|
||||
# Performance monitoring
|
||||
./cli/sigma_cli.py stats rules --year 2024 # Generation statistics
|
||||
./cli/sigma_cli.py stats poc --year 2024 # Coverage analysis
|
||||
```
|
||||
|
||||
## 🗺️ Roadmap
|
||||
|
||||
- [ ] Custom rule template editor
|
||||
**CLI Enhancements**
|
||||
- [ ] Rule quality scoring and validation
|
||||
- [ ] Custom template editor
|
||||
- [ ] Integration with popular SIEM platforms
|
||||
- [ ] Advanced MITRE ATT&CK mapping
|
||||
- [ ] SIEM platform export
|
||||
- [ ] ML-based rule optimization
|
||||
- [ ] Threat intelligence integration
|
||||
- [ ] Threat intelligence feed integration
|
||||
|
||||
**Export Features**
|
||||
- [ ] Splunk app export format
|
||||
- [ ] Elastic Stack integration
|
||||
- [ ] QRadar rule format
|
||||
- [ ] YARA rule generation
|
||||
- [ ] IOC extraction
|
||||
|
||||
## 📝 License
|
||||
|
||||
|
|
@ -254,13 +370,34 @@ MIT License - see LICENSE file for details.
|
|||
|
||||
## 🤝 Contributing
|
||||
|
||||
1. Fork repository
|
||||
2. Create feature branch
|
||||
3. Add tests and documentation
|
||||
4. Submit pull request
|
||||
1. Fork the repository
|
||||
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
|
||||
3. Test with both CLI and legacy systems
|
||||
4. Add tests and documentation
|
||||
5. Submit a pull request
|
||||
|
||||
## 📞 Support
|
||||
|
||||
- Check troubleshooting section
|
||||
- Review application logs
|
||||
- Open GitHub issue for bugs/questions
|
||||
**CLI Issues**
|
||||
- Check `cli/README.md` for detailed CLI documentation
|
||||
- Use `--verbose` flag for debugging
|
||||
- Ensure proper configuration in `~/.sigma-cli/config.yaml`
|
||||
|
||||
**General Support**
|
||||
- Review troubleshooting section above
|
||||
- Check application logs with `--verbose`
|
||||
- Open GitHub issue with specific error details
|
||||
|
||||
---
|
||||
|
||||
## 🎉 **What's New in v2.0**
|
||||
|
||||
✅ **Complete CLI System** - Professional command-line interface
|
||||
✅ **File-Based Storage** - Git-friendly YAML and JSON files
|
||||
✅ **Multiple Rule Variants** - Template, AI, and hybrid generation
|
||||
✅ **Advanced Search** - Complex filtering and analytics
|
||||
✅ **Export Tools** - Multiple output formats for different workflows
|
||||
✅ **Migration Tools** - Seamless transition from web application
|
||||
✅ **Portable Architecture** - No database dependency, runs anywhere
|
||||
|
||||
**Perfect for cybersecurity teams who want production-ready SIGMA rules with version control integration! 🚀**
|
||||
220
cli/README.md
Normal file
220
cli/README.md
Normal file
|
|
@ -0,0 +1,220 @@
|
|||
# SIGMA CLI - CVE-SIGMA Auto Generator
|
||||
|
||||
A command-line interface for processing CVEs and generating SIGMA detection rules in a file-based directory structure.
|
||||
|
||||
## Quick Start
|
||||
|
||||
```bash
|
||||
# Make CLI executable
|
||||
chmod +x cli/sigma_cli.py
|
||||
|
||||
# Initialize configuration
|
||||
./cli/sigma_cli.py config-init
|
||||
|
||||
# Migrate data from existing database (if applicable)
|
||||
./cli/sigma_cli.py migrate from-database
|
||||
|
||||
# Process CVEs for a specific year
|
||||
./cli/sigma_cli.py process year 2024
|
||||
|
||||
# Generate rules for a specific CVE
|
||||
./cli/sigma_cli.py generate cve CVE-2024-0001
|
||||
|
||||
# Search CVEs
|
||||
./cli/sigma_cli.py search cve "buffer overflow"
|
||||
|
||||
# View statistics
|
||||
./cli/sigma_cli.py stats overview
|
||||
|
||||
# Export rules
|
||||
./cli/sigma_cli.py export sigma ./output/rules
|
||||
```
|
||||
|
||||
## Directory Structure
|
||||
|
||||
```
|
||||
auto_sigma_rule_generator/
|
||||
├── cves/
|
||||
│ ├── 2024/
|
||||
│ │ ├── CVE-2024-0001/
|
||||
│ │ │ ├── metadata.json
|
||||
│ │ │ ├── rule_template.sigma
|
||||
│ │ │ ├── rule_llm_openai.sigma
|
||||
│ │ │ └── poc_analysis.json
|
||||
│ │ └── CVE-2024-0002/...
|
||||
│ └── 2023/...
|
||||
├── cli/
|
||||
│ ├── sigma_cli.py (main CLI)
|
||||
│ ├── commands/ (command modules)
|
||||
│ └── config/ (CLI configuration)
|
||||
└── reports/ (generated reports)
|
||||
```
|
||||
|
||||
## Available Commands
|
||||
|
||||
### Process Commands
|
||||
- `process year <year>` - Process all CVEs for a year
|
||||
- `process cve <cve-id>` - Process specific CVE
|
||||
- `process bulk` - Bulk process multiple years
|
||||
- `process incremental` - Process recent changes
|
||||
|
||||
### Generate Commands
|
||||
- `generate cve <cve-id>` - Generate rules for CVE
|
||||
- `generate regenerate` - Regenerate existing rules
|
||||
|
||||
### Search Commands
|
||||
- `search cve <pattern>` - Search CVEs
|
||||
- `search rules <pattern>` - Search SIGMA rules
|
||||
|
||||
### Statistics Commands
|
||||
- `stats overview` - General statistics
|
||||
- `stats poc` - PoC coverage statistics
|
||||
- `stats rules` - Rule generation statistics
|
||||
|
||||
### Export Commands
|
||||
- `export sigma <dir>` - Export SIGMA rules
|
||||
- `export metadata <file>` - Export CVE metadata
|
||||
|
||||
### Migration Commands
|
||||
- `migrate from-database` - Migrate from web app database
|
||||
- `migrate validate` - Validate migrated data
|
||||
|
||||
## Configuration
|
||||
|
||||
Edit `~/.sigma-cli/config.yaml` to configure API keys and settings:
|
||||
|
||||
```yaml
|
||||
api_keys:
|
||||
nvd_api_key: "your-nvd-key"
|
||||
github_token: "your-github-token"
|
||||
openai_api_key: "your-openai-key"
|
||||
anthropic_api_key: "your-anthropic-key"
|
||||
|
||||
llm_settings:
|
||||
default_provider: "ollama"
|
||||
default_model: "llama3.2"
|
||||
ollama_base_url: "http://localhost:11434"
|
||||
|
||||
processing:
|
||||
default_batch_size: 50
|
||||
default_methods: ["template"]
|
||||
```
|
||||
|
||||
## Installation
|
||||
|
||||
```bash
|
||||
# Install dependencies
|
||||
pip install -r cli/requirements.txt
|
||||
|
||||
# Or if you're in a virtual environment
|
||||
python -m venv venv
|
||||
source venv/bin/activate # On Windows: venv\\Scripts\\activate
|
||||
pip install -r cli/requirements.txt
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
### Migration from Web Application
|
||||
```bash
|
||||
# Migrate existing data
|
||||
./cli/sigma_cli.py migrate from-database --database-url "postgresql://user:pass@localhost:5432/db"
|
||||
|
||||
# Validate migration
|
||||
./cli/sigma_cli.py migrate validate
|
||||
|
||||
# Check migration statistics
|
||||
./cli/sigma_cli.py stats overview
|
||||
```
|
||||
|
||||
### Processing CVEs
|
||||
```bash
|
||||
# Process a specific year with multiple methods
|
||||
./cli/sigma_cli.py process year 2024 --method template --method llm
|
||||
|
||||
# Process a specific CVE with force regeneration
|
||||
./cli/sigma_cli.py process cve CVE-2024-12345 --force
|
||||
|
||||
# Bulk process with specific batch size
|
||||
./cli/sigma_cli.py process bulk --start-year 2020 --end-year 2024 --batch-size 100
|
||||
```
|
||||
|
||||
### Searching and Analysis
|
||||
```bash
|
||||
# Search for CVEs with specific patterns
|
||||
./cli/sigma_cli.py search cve "remote code execution" --severity critical --has-poc
|
||||
|
||||
# Search SIGMA rules
|
||||
./cli/sigma_cli.py search rules "powershell" --method llm
|
||||
|
||||
# Generate comprehensive statistics
|
||||
./cli/sigma_cli.py stats overview --year 2024 --output ./reports/2024-stats.json
|
||||
```
|
||||
|
||||
### Exporting Data
|
||||
```bash
|
||||
# Export all SIGMA rules as YAML
|
||||
./cli/sigma_cli.py export sigma ./output/sigma-rules --format yaml
|
||||
|
||||
# Export CVE metadata as CSV
|
||||
./cli/sigma_cli.py export metadata ./reports/cve-data.csv --format csv
|
||||
|
||||
# Export specific year and method
|
||||
./cli/sigma_cli.py export sigma ./output/2024-llm-rules --year 2024 --method llm
|
||||
```
|
||||
|
||||
## File Formats
|
||||
|
||||
### metadata.json Structure
|
||||
```json
|
||||
{
|
||||
"cve_info": {
|
||||
"cve_id": "CVE-2024-0001",
|
||||
"description": "...",
|
||||
"cvss_score": 9.8,
|
||||
"severity": "critical"
|
||||
},
|
||||
"poc_data": {
|
||||
"poc_count": 3,
|
||||
"poc_data": {...}
|
||||
},
|
||||
"rule_generation": {
|
||||
"template": {"generated_at": "..."},
|
||||
"llm_openai": {"generated_at": "..."}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### SIGMA Rule Files
|
||||
- `rule_template.sigma` - Template-based generation
|
||||
- `rule_llm_openai.sigma` - OpenAI LLM generation
|
||||
- `rule_llm_anthropic.sigma` - Anthropic LLM generation
|
||||
- `rule_hybrid.sigma` - Hybrid generation method
|
||||
|
||||
## Development
|
||||
|
||||
The CLI is built using Click and follows a modular command structure:
|
||||
|
||||
- `sigma_cli.py` - Main CLI entry point
|
||||
- `commands/base_command.py` - Base functionality
|
||||
- `commands/process_commands.py` - CVE processing
|
||||
- `commands/migrate_commands.py` - Database migration
|
||||
- `commands/search_commands.py` - Search functionality
|
||||
- `commands/stats_commands.py` - Statistics generation
|
||||
- `commands/export_commands.py` - Data export
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Common Issues
|
||||
1. **Import errors**: Make sure you're running from the project root
|
||||
2. **Permission errors**: Ensure directories are writable
|
||||
3. **Database connection**: Check DATABASE_URL environment variable
|
||||
4. **API limits**: Configure API keys for higher rate limits
|
||||
|
||||
### Debug Mode
|
||||
```bash
|
||||
# Enable verbose logging
|
||||
./cli/sigma_cli.py --verbose <command>
|
||||
|
||||
# Check configuration
|
||||
./cli/sigma_cli.py config-init
|
||||
```
|
||||
21
cli/commands/__init__.py
Normal file
21
cli/commands/__init__.py
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
"""
|
||||
CLI Commands Package
|
||||
|
||||
Contains all command implementations for the SIGMA CLI tool.
|
||||
"""
|
||||
|
||||
from .process_commands import ProcessCommands
|
||||
from .generate_commands import GenerateCommands
|
||||
from .search_commands import SearchCommands
|
||||
from .stats_commands import StatsCommands
|
||||
from .export_commands import ExportCommands
|
||||
from .migrate_commands import MigrateCommands
|
||||
|
||||
__all__ = [
|
||||
'ProcessCommands',
|
||||
'GenerateCommands',
|
||||
'SearchCommands',
|
||||
'StatsCommands',
|
||||
'ExportCommands',
|
||||
'MigrateCommands'
|
||||
]
|
||||
226
cli/commands/base_command.py
Normal file
226
cli/commands/base_command.py
Normal file
|
|
@ -0,0 +1,226 @@
|
|||
"""
|
||||
Base Command Class
|
||||
|
||||
Provides common functionality for all CLI command classes.
|
||||
"""
|
||||
|
||||
import json
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
from typing import Dict, List, Optional, Any
|
||||
import yaml
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
class BaseCommand:
|
||||
"""Base class for all CLI commands"""
|
||||
|
||||
def __init__(self, config):
|
||||
self.config = config
|
||||
self.logger = logger
|
||||
|
||||
def get_cve_directory(self, cve_id: str) -> Path:
|
||||
"""Get the directory path for a specific CVE"""
|
||||
year = cve_id.split('-')[1] # Extract year from CVE-YYYY-NNNN
|
||||
return self.config.cves_dir / year / cve_id
|
||||
|
||||
def ensure_cve_directory(self, cve_id: str) -> Path:
|
||||
"""Ensure CVE directory exists and return its path"""
|
||||
cve_dir = self.get_cve_directory(cve_id)
|
||||
cve_dir.mkdir(parents=True, exist_ok=True)
|
||||
return cve_dir
|
||||
|
||||
def load_cve_metadata(self, cve_id: str) -> Optional[Dict]:
|
||||
"""Load metadata for a specific CVE"""
|
||||
cve_dir = self.get_cve_directory(cve_id)
|
||||
metadata_file = cve_dir / "metadata.json"
|
||||
|
||||
if not metadata_file.exists():
|
||||
return None
|
||||
|
||||
try:
|
||||
with open(metadata_file, 'r') as f:
|
||||
return json.load(f)
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error loading metadata for {cve_id}: {e}")
|
||||
return None
|
||||
|
||||
def save_cve_metadata(self, cve_id: str, metadata: Dict) -> bool:
|
||||
"""Save metadata for a specific CVE"""
|
||||
cve_dir = self.ensure_cve_directory(cve_id)
|
||||
metadata_file = cve_dir / "metadata.json"
|
||||
|
||||
# Update timestamps
|
||||
if 'updated_at' not in metadata:
|
||||
metadata['updated_at'] = datetime.utcnow().isoformat()
|
||||
|
||||
try:
|
||||
with open(metadata_file, 'w') as f:
|
||||
json.dump(metadata, f, indent=2, default=str)
|
||||
return True
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error saving metadata for {cve_id}: {e}")
|
||||
return False
|
||||
|
||||
def list_cve_rules(self, cve_id: str) -> List[str]:
|
||||
"""List all SIGMA rule files for a CVE"""
|
||||
cve_dir = self.get_cve_directory(cve_id)
|
||||
if not cve_dir.exists():
|
||||
return []
|
||||
|
||||
rule_files = []
|
||||
for file in cve_dir.glob("rule_*.sigma"):
|
||||
rule_files.append(file.name)
|
||||
|
||||
return sorted(rule_files)
|
||||
|
||||
def load_sigma_rule(self, cve_id: str, rule_file: str) -> Optional[str]:
|
||||
"""Load a specific SIGMA rule file content"""
|
||||
cve_dir = self.get_cve_directory(cve_id)
|
||||
rule_path = cve_dir / rule_file
|
||||
|
||||
if not rule_path.exists():
|
||||
return None
|
||||
|
||||
try:
|
||||
with open(rule_path, 'r') as f:
|
||||
return f.read()
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error loading rule {rule_file} for {cve_id}: {e}")
|
||||
return None
|
||||
|
||||
def save_sigma_rule(self, cve_id: str, rule_file: str, content: str) -> bool:
|
||||
"""Save a SIGMA rule file"""
|
||||
cve_dir = self.ensure_cve_directory(cve_id)
|
||||
rule_path = cve_dir / rule_file
|
||||
|
||||
try:
|
||||
with open(rule_path, 'w') as f:
|
||||
f.write(content)
|
||||
|
||||
# Update metadata to track this rule file
|
||||
metadata = self.load_cve_metadata(cve_id) or {}
|
||||
if 'file_manifest' not in metadata:
|
||||
metadata['file_manifest'] = []
|
||||
|
||||
if rule_file not in metadata['file_manifest']:
|
||||
metadata['file_manifest'].append(rule_file)
|
||||
|
||||
# Update rule generation info
|
||||
if 'rule_generation' not in metadata:
|
||||
metadata['rule_generation'] = {}
|
||||
|
||||
method = rule_file.replace('rule_', '').replace('.sigma', '')
|
||||
metadata['rule_generation'][method] = {
|
||||
'generated_at': datetime.utcnow().isoformat(),
|
||||
'file': rule_file
|
||||
}
|
||||
|
||||
self.save_cve_metadata(cve_id, metadata)
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error saving rule {rule_file} for {cve_id}: {e}")
|
||||
return False
|
||||
|
||||
def get_all_cves(self, year: Optional[int] = None) -> List[str]:
|
||||
"""Get list of all CVEs, optionally filtered by year"""
|
||||
cves = []
|
||||
|
||||
if year:
|
||||
year_dir = self.config.cves_dir / str(year)
|
||||
if year_dir.exists():
|
||||
for cve_dir in year_dir.iterdir():
|
||||
if cve_dir.is_dir() and cve_dir.name.startswith('CVE-'):
|
||||
cves.append(cve_dir.name)
|
||||
else:
|
||||
# Get all CVEs across all years
|
||||
for year_dir in self.config.cves_dir.iterdir():
|
||||
if year_dir.is_dir() and year_dir.name.isdigit():
|
||||
for cve_dir in year_dir.iterdir():
|
||||
if cve_dir.is_dir() and cve_dir.name.startswith('CVE-'):
|
||||
cves.append(cve_dir.name)
|
||||
|
||||
return sorted(cves)
|
||||
|
||||
def get_years_with_data(self) -> List[int]:
|
||||
"""Get list of years that have CVE data"""
|
||||
years = []
|
||||
for year_dir in self.config.cves_dir.iterdir():
|
||||
if year_dir.is_dir() and year_dir.name.isdigit():
|
||||
# Check if year directory has any CVE subdirectories
|
||||
has_cves = any(
|
||||
cve_dir.is_dir() and cve_dir.name.startswith('CVE-')
|
||||
for cve_dir in year_dir.iterdir()
|
||||
)
|
||||
if has_cves:
|
||||
years.append(int(year_dir.name))
|
||||
|
||||
return sorted(years)
|
||||
|
||||
def validate_cve_id(self, cve_id: str) -> bool:
|
||||
"""Validate CVE ID format"""
|
||||
import re
|
||||
pattern = r'^CVE-\d{4}-\d{4,}$'
|
||||
return bool(re.match(pattern, cve_id))
|
||||
|
||||
def print_table(self, headers: List[str], rows: List[List[str]], title: Optional[str] = None):
|
||||
"""Print a formatted table"""
|
||||
import click
|
||||
|
||||
if title:
|
||||
click.echo(f"\n{title}")
|
||||
click.echo("=" * len(title))
|
||||
|
||||
if not rows:
|
||||
click.echo("No data found.")
|
||||
return
|
||||
|
||||
# Calculate column widths
|
||||
widths = [len(h) for h in headers]
|
||||
for row in rows:
|
||||
for i, cell in enumerate(row):
|
||||
if i < len(widths):
|
||||
widths[i] = max(widths[i], len(str(cell)))
|
||||
|
||||
# Print headers
|
||||
header_line = " | ".join(h.ljust(w) for h, w in zip(headers, widths))
|
||||
click.echo(header_line)
|
||||
click.echo("-" * len(header_line))
|
||||
|
||||
# Print rows
|
||||
for row in rows:
|
||||
row_line = " | ".join(str(cell).ljust(w) for cell, w in zip(row, widths))
|
||||
click.echo(row_line)
|
||||
|
||||
def format_json_output(self, data: Any, pretty: bool = True) -> str:
|
||||
"""Format data as JSON"""
|
||||
if pretty:
|
||||
return json.dumps(data, indent=2, default=str)
|
||||
else:
|
||||
return json.dumps(data, default=str)
|
||||
|
||||
def format_yaml_output(self, data: Any) -> str:
|
||||
"""Format data as YAML"""
|
||||
return yaml.dump(data, default_flow_style=False)
|
||||
|
||||
def success(self, message: str):
|
||||
"""Print success message"""
|
||||
import click
|
||||
click.echo(click.style(f"✓ {message}", fg='green'))
|
||||
|
||||
def error(self, message: str):
|
||||
"""Print error message"""
|
||||
import click
|
||||
click.echo(click.style(f"✗ {message}", fg='red'), err=True)
|
||||
|
||||
def warning(self, message: str):
|
||||
"""Print warning message"""
|
||||
import click
|
||||
click.echo(click.style(f"⚠ {message}", fg='yellow'))
|
||||
|
||||
def info(self, message: str):
|
||||
"""Print info message"""
|
||||
import click
|
||||
click.echo(click.style(f"ℹ {message}", fg='blue'))
|
||||
282
cli/commands/export_commands.py
Normal file
282
cli/commands/export_commands.py
Normal file
|
|
@ -0,0 +1,282 @@
|
|||
"""
|
||||
Export Commands
|
||||
|
||||
Commands for exporting SIGMA rules and CVE data in various formats.
|
||||
"""
|
||||
|
||||
import json
|
||||
import csv
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Optional
|
||||
from .base_command import BaseCommand
|
||||
|
||||
class ExportCommands(BaseCommand):
|
||||
"""Commands for exporting data"""
|
||||
|
||||
async def export_sigma_rules(self, output_dir: str, year: Optional[int],
|
||||
format_type: str, method: Optional[str]):
|
||||
"""Export SIGMA rules to a directory"""
|
||||
output_path = Path(output_dir)
|
||||
output_path.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
self.info(f"Exporting SIGMA rules to: {output_path}")
|
||||
self.info(f"Format: {format_type}")
|
||||
|
||||
if year:
|
||||
self.info(f"Filtering by year: {year}")
|
||||
if method:
|
||||
self.info(f"Filtering by method: {method}")
|
||||
|
||||
# Get CVEs to export
|
||||
cves = self.get_all_cves(year)
|
||||
if not cves:
|
||||
self.warning("No CVEs found to export")
|
||||
return
|
||||
|
||||
exported_count = 0
|
||||
skipped_count = 0
|
||||
|
||||
for cve_id in cves:
|
||||
try:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
|
||||
if method:
|
||||
# Filter rules by method
|
||||
rules = [r for r in rules if method.lower() in r.lower()]
|
||||
|
||||
if not rules:
|
||||
skipped_count += 1
|
||||
continue
|
||||
|
||||
# Create CVE directory in export location
|
||||
cve_export_dir = output_path / cve_id
|
||||
cve_export_dir.mkdir(exist_ok=True)
|
||||
|
||||
for rule_file in rules:
|
||||
rule_content = self.load_sigma_rule(cve_id, rule_file)
|
||||
if not rule_content:
|
||||
continue
|
||||
|
||||
if format_type == 'yaml':
|
||||
# Export as YAML (original format)
|
||||
export_file = cve_export_dir / rule_file
|
||||
with open(export_file, 'w') as f:
|
||||
f.write(rule_content)
|
||||
|
||||
elif format_type == 'json':
|
||||
# Convert YAML to JSON (basic conversion)
|
||||
try:
|
||||
import yaml
|
||||
rule_dict = yaml.safe_load(rule_content)
|
||||
export_file = cve_export_dir / rule_file.replace('.sigma', '.json')
|
||||
with open(export_file, 'w') as f:
|
||||
json.dump(rule_dict, f, indent=2)
|
||||
except Exception as e:
|
||||
self.error(f"Error converting {rule_file} to JSON: {e}")
|
||||
continue
|
||||
|
||||
exported_count += 1
|
||||
|
||||
# Export metadata for context
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if metadata:
|
||||
metadata_file = cve_export_dir / "metadata.json"
|
||||
with open(metadata_file, 'w') as f:
|
||||
json.dump(metadata, f, indent=2, default=str)
|
||||
|
||||
if exported_count % 50 == 0:
|
||||
self.info(f"Exported {exported_count} rules...")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error exporting rules for {cve_id}: {e}")
|
||||
skipped_count += 1
|
||||
|
||||
self.success(f"Export completed!")
|
||||
self.success(f"Exported {exported_count} rules from {len(cves) - skipped_count} CVEs")
|
||||
self.success(f"Skipped {skipped_count} CVEs (no matching rules)")
|
||||
|
||||
async def export_metadata(self, output_file: str, year: Optional[int], format_type: str):
|
||||
"""Export CVE metadata"""
|
||||
output_path = Path(output_file)
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
self.info(f"Exporting CVE metadata to: {output_path}")
|
||||
self.info(f"Format: {format_type}")
|
||||
|
||||
if year:
|
||||
self.info(f"Filtering by year: {year}")
|
||||
|
||||
# Get CVEs to export
|
||||
cves = self.get_all_cves(year)
|
||||
if not cves:
|
||||
self.warning("No CVEs found to export")
|
||||
return
|
||||
|
||||
metadata_list = []
|
||||
|
||||
for cve_id in cves:
|
||||
try:
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
continue
|
||||
|
||||
# Flatten metadata for export
|
||||
export_record = self._flatten_metadata(metadata)
|
||||
export_record['rules_count'] = len(self.list_cve_rules(cve_id))
|
||||
|
||||
metadata_list.append(export_record)
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing metadata for {cve_id}: {e}")
|
||||
|
||||
if not metadata_list:
|
||||
self.warning("No metadata found to export")
|
||||
return
|
||||
|
||||
# Export in requested format
|
||||
try:
|
||||
if format_type == 'json':
|
||||
with open(output_path, 'w') as f:
|
||||
json.dump(metadata_list, f, indent=2, default=str)
|
||||
|
||||
elif format_type == 'csv':
|
||||
if metadata_list:
|
||||
fieldnames = metadata_list[0].keys()
|
||||
with open(output_path, 'w', newline='') as f:
|
||||
writer = csv.DictWriter(f, fieldnames=fieldnames)
|
||||
writer.writeheader()
|
||||
writer.writerows(metadata_list)
|
||||
|
||||
self.success(f"Exported metadata for {len(metadata_list)} CVEs")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error writing export file: {e}")
|
||||
|
||||
def _flatten_metadata(self, metadata: Dict) -> Dict:
|
||||
"""Flatten nested metadata structure for export"""
|
||||
flattened = {}
|
||||
|
||||
# CVE info fields
|
||||
cve_info = metadata.get('cve_info', {})
|
||||
flattened.update({
|
||||
'cve_id': cve_info.get('cve_id'),
|
||||
'description': cve_info.get('description'),
|
||||
'cvss_score': cve_info.get('cvss_score'),
|
||||
'severity': cve_info.get('severity'),
|
||||
'published_date': cve_info.get('published_date'),
|
||||
'modified_date': cve_info.get('modified_date'),
|
||||
'affected_products_count': len(cve_info.get('affected_products', [])),
|
||||
'reference_urls_count': len(cve_info.get('reference_urls', []))
|
||||
})
|
||||
|
||||
# PoC data fields
|
||||
poc_data = metadata.get('poc_data', {})
|
||||
flattened.update({
|
||||
'poc_count': poc_data.get('poc_count', 0),
|
||||
'has_nomi_sec_pocs': bool(poc_data.get('poc_data', {}).get('nomi_sec')),
|
||||
'has_github_pocs': bool(poc_data.get('poc_data', {}).get('github')),
|
||||
'has_exploitdb_pocs': bool(poc_data.get('poc_data', {}).get('exploitdb'))
|
||||
})
|
||||
|
||||
# Processing fields
|
||||
processing = metadata.get('processing', {})
|
||||
flattened.update({
|
||||
'data_source': processing.get('data_source'),
|
||||
'bulk_processed': processing.get('bulk_processed', False),
|
||||
'reference_sync_status': processing.get('reference_sync_status')
|
||||
})
|
||||
|
||||
# Rule generation fields
|
||||
rule_generation = metadata.get('rule_generation', {})
|
||||
generation_methods = list(rule_generation.keys())
|
||||
flattened.update({
|
||||
'generation_methods': ','.join(generation_methods),
|
||||
'generation_methods_count': len(generation_methods),
|
||||
'has_template_rule': 'template' in generation_methods,
|
||||
'has_llm_rule': any('llm' in method for method in generation_methods),
|
||||
'has_hybrid_rule': 'hybrid' in generation_methods
|
||||
})
|
||||
|
||||
# Timestamps
|
||||
flattened.update({
|
||||
'created_at': metadata.get('created_at'),
|
||||
'updated_at': metadata.get('updated_at'),
|
||||
'migrated_at': metadata.get('migrated_at')
|
||||
})
|
||||
|
||||
return flattened
|
||||
|
||||
async def export_ruleset(self, output_file: str, year: Optional[int],
|
||||
method: Optional[str], include_metadata: bool = True):
|
||||
"""Export consolidated ruleset file"""
|
||||
output_path = Path(output_file)
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
self.info(f"Creating consolidated ruleset: {output_path}")
|
||||
|
||||
if year:
|
||||
self.info(f"Including year: {year}")
|
||||
if method:
|
||||
self.info(f"Including method: {method}")
|
||||
|
||||
# Get CVEs and collect rules
|
||||
cves = self.get_all_cves(year)
|
||||
ruleset = {
|
||||
'metadata': {
|
||||
'generated_at': self.format_json_output({"timestamp": "now"})[:19] + 'Z',
|
||||
'filter_year': year,
|
||||
'filter_method': method,
|
||||
'total_cves': len(cves),
|
||||
'generator': 'CVE-SIGMA Auto Generator CLI'
|
||||
},
|
||||
'rules': []
|
||||
}
|
||||
|
||||
rule_count = 0
|
||||
|
||||
for cve_id in cves:
|
||||
try:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
|
||||
if method:
|
||||
rules = [r for r in rules if method.lower() in r.lower()]
|
||||
|
||||
for rule_file in rules:
|
||||
rule_content = self.load_sigma_rule(cve_id, rule_file)
|
||||
if not rule_content:
|
||||
continue
|
||||
|
||||
rule_entry = {
|
||||
'cve_id': cve_id,
|
||||
'rule_file': rule_file,
|
||||
'content': rule_content
|
||||
}
|
||||
|
||||
if include_metadata:
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if metadata:
|
||||
rule_entry['cve_metadata'] = {
|
||||
'severity': metadata.get('cve_info', {}).get('severity'),
|
||||
'cvss_score': metadata.get('cve_info', {}).get('cvss_score'),
|
||||
'poc_count': metadata.get('poc_data', {}).get('poc_count', 0)
|
||||
}
|
||||
|
||||
ruleset['rules'].append(rule_entry)
|
||||
rule_count += 1
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
|
||||
# Update metadata with actual counts
|
||||
ruleset['metadata']['total_rules'] = rule_count
|
||||
|
||||
# Save ruleset
|
||||
try:
|
||||
with open(output_path, 'w') as f:
|
||||
json.dump(ruleset, f, indent=2, default=str)
|
||||
|
||||
self.success(f"Created consolidated ruleset with {rule_count} rules")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error creating ruleset file: {e}")
|
||||
116
cli/commands/generate_commands.py
Normal file
116
cli/commands/generate_commands.py
Normal file
|
|
@ -0,0 +1,116 @@
|
|||
"""
|
||||
Generate Commands
|
||||
|
||||
Commands for generating SIGMA rules for existing CVEs.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
from typing import Dict, List, Optional
|
||||
from .base_command import BaseCommand
|
||||
from .process_commands import ProcessCommands
|
||||
|
||||
class GenerateCommands(BaseCommand):
|
||||
"""Commands for generating SIGMA rules"""
|
||||
|
||||
def __init__(self, config):
|
||||
super().__init__(config)
|
||||
self.process_commands = ProcessCommands(config)
|
||||
|
||||
async def generate_cve(self, cve_id: str, method: str, provider: Optional[str], model: Optional[str], force: bool):
|
||||
"""Generate SIGMA rules for a specific CVE"""
|
||||
if not self.validate_cve_id(cve_id):
|
||||
self.error(f"Invalid CVE ID format: {cve_id}")
|
||||
return
|
||||
|
||||
# Check if CVE exists
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
self.error(f"CVE {cve_id} not found. Run 'sigma-cli process cve {cve_id}' first to fetch data.")
|
||||
return
|
||||
|
||||
self.info(f"Generating rules for {cve_id} using method: {method}")
|
||||
|
||||
if provider:
|
||||
self.info(f"Using LLM provider: {provider}")
|
||||
if model:
|
||||
self.info(f"Using model: {model}")
|
||||
|
||||
# Use the process command logic
|
||||
methods = [method] if method != 'all' else ['template', 'llm', 'hybrid']
|
||||
success = await self.process_commands._process_single_cve(cve_id, methods, force)
|
||||
|
||||
if success:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
self.success(f"Generated {len(rules)} rules for {cve_id}")
|
||||
for rule in rules:
|
||||
self.info(f" - {rule}")
|
||||
else:
|
||||
self.error(f"Failed to generate rules for {cve_id}")
|
||||
|
||||
async def regenerate_rules(self, year: Optional[int], method: str, filter_quality: Optional[str]):
|
||||
"""Regenerate existing SIGMA rules"""
|
||||
self.info(f"Regenerating rules with method: {method}")
|
||||
|
||||
if year:
|
||||
self.info(f"Filtering by year: {year}")
|
||||
if filter_quality:
|
||||
self.info(f"Filtering by quality: {filter_quality}")
|
||||
|
||||
# Get CVEs to regenerate
|
||||
cves_to_process = []
|
||||
|
||||
if year:
|
||||
cves = self.get_all_cves(year)
|
||||
else:
|
||||
cves = self.get_all_cves()
|
||||
|
||||
# Filter by quality if specified
|
||||
for cve_id in cves:
|
||||
if filter_quality:
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if metadata:
|
||||
poc_data = metadata.get('poc_data', {})
|
||||
# Simple quality filter based on PoC count
|
||||
poc_count = poc_data.get('poc_count', 0)
|
||||
|
||||
quality_meets_filter = False
|
||||
if filter_quality == 'excellent' and poc_count >= 5:
|
||||
quality_meets_filter = True
|
||||
elif filter_quality == 'good' and poc_count >= 3:
|
||||
quality_meets_filter = True
|
||||
elif filter_quality == 'fair' and poc_count >= 1:
|
||||
quality_meets_filter = True
|
||||
|
||||
if quality_meets_filter:
|
||||
cves_to_process.append(cve_id)
|
||||
else:
|
||||
cves_to_process.append(cve_id)
|
||||
|
||||
if not cves_to_process:
|
||||
self.warning("No CVEs found matching the criteria")
|
||||
return
|
||||
|
||||
self.info(f"Will regenerate rules for {len(cves_to_process)} CVEs")
|
||||
|
||||
# Regenerate rules
|
||||
methods = [method] if method != 'all' else ['template', 'llm', 'hybrid']
|
||||
processed = 0
|
||||
failed = 0
|
||||
|
||||
for cve_id in cves_to_process:
|
||||
try:
|
||||
success = await self.process_commands._process_single_cve(cve_id, methods, True) # Force=True
|
||||
if success:
|
||||
processed += 1
|
||||
else:
|
||||
failed += 1
|
||||
|
||||
if (processed + failed) % 10 == 0:
|
||||
self.info(f"Regenerated {processed + failed}/{len(cves_to_process)} CVEs...")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error regenerating {cve_id}: {e}")
|
||||
failed += 1
|
||||
|
||||
self.success(f"Regeneration completed!")
|
||||
self.success(f"Processed: {processed}, Failed: {failed}")
|
||||
379
cli/commands/migrate_commands.py
Normal file
379
cli/commands/migrate_commands.py
Normal file
|
|
@ -0,0 +1,379 @@
|
|||
"""
|
||||
Migration Commands
|
||||
|
||||
Commands for migrating data from the existing web application database
|
||||
to the new file-based directory structure.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Optional, Any
|
||||
import click
|
||||
|
||||
# Import the base command class
|
||||
from .base_command import BaseCommand
|
||||
|
||||
# Import database models from the existing backend
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', 'backend'))
|
||||
|
||||
class MigrateCommands(BaseCommand):
|
||||
"""Commands for migrating from database to file structure"""
|
||||
|
||||
async def migrate_from_database(self, database_url: Optional[str], batch_size: int, dry_run: bool):
|
||||
"""Migrate data from existing database to file structure"""
|
||||
|
||||
try:
|
||||
# Import database components
|
||||
from sqlalchemy import create_engine
|
||||
from sqlalchemy.orm import sessionmaker
|
||||
from main import CVE, SigmaRule, RuleTemplate # Import from existing main.py
|
||||
|
||||
# Use provided database URL or default
|
||||
if not database_url:
|
||||
database_url = os.getenv("DATABASE_URL", "postgresql://cve_user:cve_password@localhost:5432/cve_sigma_db")
|
||||
|
||||
self.info(f"Connecting to database: {database_url.split('@')[1] if '@' in database_url else database_url}")
|
||||
|
||||
# Create database session
|
||||
engine = create_engine(database_url)
|
||||
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
|
||||
db = SessionLocal()
|
||||
|
||||
# Get total counts
|
||||
cve_count = db.query(CVE).count()
|
||||
rule_count = db.query(SigmaRule).count()
|
||||
template_count = db.query(RuleTemplate).count()
|
||||
|
||||
self.info(f"Found {cve_count} CVEs, {rule_count} SIGMA rules, {template_count} templates")
|
||||
|
||||
if dry_run:
|
||||
self.warning("DRY RUN MODE - No files will be created")
|
||||
|
||||
# Show what would be migrated
|
||||
sample_cves = db.query(CVE).limit(5).all()
|
||||
for cve in sample_cves:
|
||||
cve_dir = self.get_cve_directory(cve.cve_id)
|
||||
self.info(f"Would create: {cve_dir}")
|
||||
|
||||
# Count rules for this CVE
|
||||
rules = db.query(SigmaRule).filter(SigmaRule.cve_id == cve.cve_id).all()
|
||||
self.info(f" - Would migrate {len(rules)} SIGMA rules")
|
||||
|
||||
return
|
||||
|
||||
# Migrate CVEs and rules
|
||||
migrated_cves = 0
|
||||
migrated_rules = 0
|
||||
|
||||
# Process CVEs in batches
|
||||
offset = 0
|
||||
while offset < cve_count:
|
||||
batch_cves = db.query(CVE).offset(offset).limit(batch_size).all()
|
||||
|
||||
for cve in batch_cves:
|
||||
try:
|
||||
await self._migrate_cve(db, cve)
|
||||
migrated_cves += 1
|
||||
|
||||
# Migrate associated rules
|
||||
rules = db.query(SigmaRule).filter(SigmaRule.cve_id == cve.cve_id).all()
|
||||
for rule in rules:
|
||||
if await self._migrate_sigma_rule(cve.cve_id, rule):
|
||||
migrated_rules += 1
|
||||
|
||||
if migrated_cves % 10 == 0:
|
||||
self.info(f"Migrated {migrated_cves}/{cve_count} CVEs...")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error migrating {cve.cve_id}: {e}")
|
||||
|
||||
offset += batch_size
|
||||
|
||||
# Migrate templates to new location
|
||||
template_dir = self.config.base_dir / "backend" / "templates"
|
||||
template_dir.mkdir(exist_ok=True)
|
||||
|
||||
templates = db.query(RuleTemplate).all()
|
||||
for template in templates:
|
||||
template_file = template_dir / f"{template.template_name.lower().replace(' ', '_')}.yaml"
|
||||
if not template_file.exists():
|
||||
try:
|
||||
with open(template_file, 'w') as f:
|
||||
f.write(template.template_content)
|
||||
self.info(f"Migrated template: {template.template_name}")
|
||||
except Exception as e:
|
||||
self.error(f"Error migrating template {template.template_name}: {e}")
|
||||
|
||||
db.close()
|
||||
|
||||
self.success(f"Migration completed!")
|
||||
self.success(f"Migrated {migrated_cves} CVEs and {migrated_rules} SIGMA rules")
|
||||
|
||||
except ImportError as e:
|
||||
self.error(f"Could not import database models: {e}")
|
||||
self.error("Make sure you're running from the project root directory")
|
||||
except Exception as e:
|
||||
self.error(f"Migration failed: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
async def _migrate_cve(self, db, cve) -> bool:
|
||||
"""Migrate a single CVE to file structure"""
|
||||
try:
|
||||
# Create CVE metadata
|
||||
metadata = {
|
||||
"cve_info": {
|
||||
"cve_id": cve.cve_id,
|
||||
"description": cve.description,
|
||||
"cvss_score": float(cve.cvss_score) if cve.cvss_score else None,
|
||||
"severity": cve.severity,
|
||||
"published_date": cve.published_date.isoformat() if cve.published_date else None,
|
||||
"modified_date": cve.modified_date.isoformat() if cve.modified_date else None,
|
||||
"affected_products": cve.affected_products or [],
|
||||
"reference_urls": cve.reference_urls or []
|
||||
},
|
||||
"poc_data": {
|
||||
"poc_count": getattr(cve, 'poc_count', 0),
|
||||
"poc_data": getattr(cve, 'poc_data', {}),
|
||||
"nomi_sec_data": getattr(cve, 'poc_data', {}).get('nomi_sec', []) if getattr(cve, 'poc_data', {}) else [],
|
||||
"github_pocs": getattr(cve, 'poc_data', {}).get('github', []) if getattr(cve, 'poc_data', {}) else []
|
||||
},
|
||||
"processing": {
|
||||
"data_source": getattr(cve, 'data_source', 'nvd_api'),
|
||||
"bulk_processed": getattr(cve, 'bulk_processed', False),
|
||||
"reference_sync_status": getattr(cve, 'reference_sync_status', 'pending')
|
||||
},
|
||||
"file_manifest": [],
|
||||
"rule_generation": {},
|
||||
"created_at": cve.created_at.isoformat() if cve.created_at else datetime.utcnow().isoformat(),
|
||||
"updated_at": datetime.utcnow().isoformat(),
|
||||
"migrated_at": datetime.utcnow().isoformat()
|
||||
}
|
||||
|
||||
# Save PoC analysis if available
|
||||
if hasattr(cve, 'poc_data') and cve.poc_data:
|
||||
cve_dir = self.ensure_cve_directory(cve.cve_id)
|
||||
poc_analysis_file = cve_dir / "poc_analysis.json"
|
||||
|
||||
with open(poc_analysis_file, 'w') as f:
|
||||
json.dump(cve.poc_data, f, indent=2, default=str)
|
||||
|
||||
metadata["file_manifest"].append("poc_analysis.json")
|
||||
|
||||
# Save metadata
|
||||
return self.save_cve_metadata(cve.cve_id, metadata)
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error migrating CVE {cve.cve_id}: {e}")
|
||||
return False
|
||||
|
||||
async def _migrate_sigma_rule(self, cve_id: str, rule) -> bool:
|
||||
"""Migrate a single SIGMA rule to file structure"""
|
||||
try:
|
||||
# Determine rule filename based on generation method/source
|
||||
if hasattr(rule, 'poc_source') and rule.poc_source:
|
||||
if 'llm' in rule.poc_source.lower() or 'openai' in rule.poc_source.lower():
|
||||
filename = "rule_llm_openai.sigma"
|
||||
elif 'anthropic' in rule.poc_source.lower():
|
||||
filename = "rule_llm_anthropic.sigma"
|
||||
elif 'hybrid' in rule.poc_source.lower():
|
||||
filename = "rule_hybrid.sigma"
|
||||
else:
|
||||
filename = "rule_template.sigma"
|
||||
else:
|
||||
# Default to template-based
|
||||
filename = "rule_template.sigma"
|
||||
|
||||
# Check if we already have a rule with this name, if so append a suffix
|
||||
existing_rules = self.list_cve_rules(cve_id)
|
||||
if filename in existing_rules:
|
||||
base_name = filename.replace('.sigma', '')
|
||||
counter = 1
|
||||
while f"{base_name}_{counter}.sigma" in existing_rules:
|
||||
counter += 1
|
||||
filename = f"{base_name}_{counter}.sigma"
|
||||
|
||||
# Save the rule content
|
||||
if self.save_sigma_rule(cve_id, filename, rule.rule_content):
|
||||
# Update metadata with additional rule information
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if metadata:
|
||||
rule_info = {
|
||||
"rule_name": rule.rule_name,
|
||||
"detection_type": getattr(rule, 'detection_type', ''),
|
||||
"log_source": getattr(rule, 'log_source', ''),
|
||||
"confidence_level": getattr(rule, 'confidence_level', ''),
|
||||
"auto_generated": getattr(rule, 'auto_generated', True),
|
||||
"exploit_based": getattr(rule, 'exploit_based', False),
|
||||
"poc_source": getattr(rule, 'poc_source', 'template'),
|
||||
"poc_quality_score": getattr(rule, 'poc_quality_score', 0),
|
||||
"github_repos": getattr(rule, 'github_repos', []),
|
||||
"created_at": rule.created_at.isoformat() if rule.created_at else None,
|
||||
"migrated_at": datetime.utcnow().isoformat()
|
||||
}
|
||||
|
||||
method_key = filename.replace('rule_', '').replace('.sigma', '')
|
||||
if 'rule_generation' not in metadata:
|
||||
metadata['rule_generation'] = {}
|
||||
|
||||
metadata['rule_generation'][method_key] = rule_info
|
||||
self.save_cve_metadata(cve_id, metadata)
|
||||
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error migrating rule for {cve_id}: {e}")
|
||||
return False
|
||||
|
||||
return False
|
||||
|
||||
async def validate_migration(self, year: Optional[int] = None):
|
||||
"""Validate migrated data integrity"""
|
||||
self.info("Validating migrated data...")
|
||||
|
||||
issues = []
|
||||
validated_cves = 0
|
||||
validated_rules = 0
|
||||
|
||||
# Get CVEs to validate
|
||||
cves_to_check = self.get_all_cves(year)
|
||||
|
||||
for cve_id in cves_to_check:
|
||||
try:
|
||||
# Check if metadata exists and is valid
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
issues.append(f"{cve_id}: Missing metadata.json")
|
||||
continue
|
||||
|
||||
# Validate required metadata fields
|
||||
required_fields = ['cve_info', 'poc_data', 'processing']
|
||||
for field in required_fields:
|
||||
if field not in metadata:
|
||||
issues.append(f"{cve_id}: Missing metadata field '{field}'")
|
||||
|
||||
# Validate CVE info
|
||||
if 'cve_info' in metadata:
|
||||
cve_info = metadata['cve_info']
|
||||
if not cve_info.get('cve_id'):
|
||||
issues.append(f"{cve_id}: Missing cve_id in metadata")
|
||||
elif cve_info['cve_id'] != cve_id:
|
||||
issues.append(f"{cve_id}: CVE ID mismatch in metadata")
|
||||
|
||||
# Validate file manifest
|
||||
file_manifest = metadata.get('file_manifest', [])
|
||||
cve_dir = self.get_cve_directory(cve_id)
|
||||
|
||||
for file_name in file_manifest:
|
||||
file_path = cve_dir / file_name
|
||||
if not file_path.exists():
|
||||
issues.append(f"{cve_id}: Referenced file '{file_name}' does not exist")
|
||||
|
||||
# Check for SIGMA rule files
|
||||
rule_files = self.list_cve_rules(cve_id)
|
||||
for rule_file in rule_files:
|
||||
rule_content = self.load_sigma_rule(cve_id, rule_file)
|
||||
if not rule_content:
|
||||
issues.append(f"{cve_id}: Could not load rule file '{rule_file}'")
|
||||
elif not rule_content.strip():
|
||||
issues.append(f"{cve_id}: Empty rule file '{rule_file}'")
|
||||
else:
|
||||
# Basic YAML validation for SIGMA rules
|
||||
if not rule_content.strip().startswith('title:'):
|
||||
issues.append(f"{cve_id}: Rule '{rule_file}' doesn't appear to be valid SIGMA format")
|
||||
validated_rules += 1
|
||||
|
||||
validated_cves += 1
|
||||
|
||||
if validated_cves % 100 == 0:
|
||||
self.info(f"Validated {validated_cves} CVEs...")
|
||||
|
||||
except Exception as e:
|
||||
issues.append(f"{cve_id}: Validation error - {e}")
|
||||
|
||||
# Print validation results
|
||||
self.info(f"\nValidation completed:")
|
||||
self.info(f"- Validated {validated_cves} CVEs")
|
||||
self.info(f"- Validated {validated_rules} SIGMA rules")
|
||||
|
||||
if issues:
|
||||
self.warning(f"Found {len(issues)} validation issues:")
|
||||
for issue in issues[:20]: # Show first 20 issues
|
||||
self.error(f" {issue}")
|
||||
|
||||
if len(issues) > 20:
|
||||
self.warning(f" ... and {len(issues) - 20} more issues")
|
||||
else:
|
||||
self.success("No validation issues found!")
|
||||
|
||||
async def cleanup_migration(self):
|
||||
"""Clean up migration artifacts and temporary files"""
|
||||
self.info("Cleaning up migration artifacts...")
|
||||
|
||||
# Remove empty directories
|
||||
for year_dir in self.config.cves_dir.iterdir():
|
||||
if year_dir.is_dir():
|
||||
for cve_dir in year_dir.iterdir():
|
||||
if cve_dir.is_dir():
|
||||
# Check if directory is empty
|
||||
if not any(cve_dir.iterdir()):
|
||||
cve_dir.rmdir()
|
||||
self.info(f"Removed empty directory: {cve_dir}")
|
||||
|
||||
# Check if year directory is now empty
|
||||
if not any(year_dir.iterdir()):
|
||||
year_dir.rmdir()
|
||||
self.info(f"Removed empty year directory: {year_dir}")
|
||||
|
||||
self.success("Cleanup completed!")
|
||||
|
||||
async def migration_stats(self):
|
||||
"""Show migration statistics"""
|
||||
self.info("Migration Statistics:")
|
||||
|
||||
years = self.get_years_with_data()
|
||||
total_cves = 0
|
||||
total_rules = 0
|
||||
|
||||
stats_by_year = {}
|
||||
|
||||
for year in years:
|
||||
cves = self.get_all_cves(year)
|
||||
year_cves = len(cves)
|
||||
year_rules = 0
|
||||
|
||||
for cve_id in cves:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
year_rules += len(rules)
|
||||
|
||||
stats_by_year[year] = {
|
||||
'cves': year_cves,
|
||||
'rules': year_rules
|
||||
}
|
||||
|
||||
total_cves += year_cves
|
||||
total_rules += year_rules
|
||||
|
||||
# Print statistics table
|
||||
headers = ["Year", "CVEs", "Rules", "Avg Rules/CVE"]
|
||||
rows = []
|
||||
|
||||
for year in sorted(years):
|
||||
stats = stats_by_year[year]
|
||||
avg_rules = stats['rules'] / stats['cves'] if stats['cves'] > 0 else 0
|
||||
rows.append([
|
||||
str(year),
|
||||
str(stats['cves']),
|
||||
str(stats['rules']),
|
||||
f"{avg_rules:.1f}"
|
||||
])
|
||||
|
||||
# Add totals
|
||||
avg_total = total_rules / total_cves if total_cves > 0 else 0
|
||||
rows.append(["TOTAL", str(total_cves), str(total_rules), f"{avg_total:.1f}"])
|
||||
|
||||
self.print_table(headers, rows, "Migration Statistics by Year")
|
||||
499
cli/commands/process_commands.py
Normal file
499
cli/commands/process_commands.py
Normal file
|
|
@ -0,0 +1,499 @@
|
|||
"""
|
||||
Process Commands
|
||||
|
||||
Commands for processing CVEs and generating SIGMA rules in the file-based system.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Optional, Any, Tuple
|
||||
import click
|
||||
|
||||
# Import the base command class
|
||||
from .base_command import BaseCommand
|
||||
|
||||
# Import processing components from the existing backend
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', 'backend'))
|
||||
|
||||
class ProcessCommands(BaseCommand):
|
||||
"""Commands for processing CVEs and generating rules"""
|
||||
|
||||
def __init__(self, config):
|
||||
super().__init__(config)
|
||||
self._initialize_processors()
|
||||
|
||||
def _initialize_processors(self):
|
||||
"""Initialize the processing components"""
|
||||
try:
|
||||
# Import core processing modules
|
||||
from nvd_bulk_processor import NVDBulkProcessor
|
||||
from nomi_sec_client import NomiSecClient
|
||||
from enhanced_sigma_generator import EnhancedSigmaGenerator
|
||||
from poc_analyzer import PoCAnalyzer
|
||||
from yaml_metadata_generator import YAMLMetadataGenerator
|
||||
|
||||
# Create processors (will be initialized per operation due to session requirements)
|
||||
self.nvd_processor_class = NVDBulkProcessor
|
||||
self.nomi_sec_client_class = NomiSecClient
|
||||
self.sigma_generator_class = EnhancedSigmaGenerator
|
||||
self.poc_analyzer = PoCAnalyzer()
|
||||
self.yaml_generator_class = YAMLMetadataGenerator
|
||||
|
||||
except ImportError as e:
|
||||
self.error(f"Could not import processing modules: {e}")
|
||||
self.error("Make sure you're running from the project root directory")
|
||||
sys.exit(1)
|
||||
|
||||
async def process_year(self, year: int, methods: List[str], force: bool, batch_size: int):
|
||||
"""Process all CVEs for a specific year"""
|
||||
self.info(f"Processing CVEs for year {year}")
|
||||
self.info(f"Methods: {', '.join(methods)}")
|
||||
self.info(f"Batch size: {batch_size}")
|
||||
|
||||
if force:
|
||||
self.warning("Force mode enabled - will regenerate existing rules")
|
||||
|
||||
try:
|
||||
# First, fetch/update CVE data for the year
|
||||
await self._fetch_cve_data_for_year(year, batch_size)
|
||||
|
||||
# Get all CVEs for the year
|
||||
cves = self.get_all_cves(year)
|
||||
if not cves:
|
||||
self.warning(f"No CVEs found for year {year}")
|
||||
return
|
||||
|
||||
self.info(f"Found {len(cves)} CVEs for {year}")
|
||||
|
||||
# Process in batches
|
||||
processed = 0
|
||||
failed = 0
|
||||
|
||||
for i in range(0, len(cves), batch_size):
|
||||
batch = cves[i:i+batch_size]
|
||||
|
||||
for cve_id in batch:
|
||||
try:
|
||||
success = await self._process_single_cve(cve_id, methods, force)
|
||||
if success:
|
||||
processed += 1
|
||||
else:
|
||||
failed += 1
|
||||
|
||||
if (processed + failed) % 10 == 0:
|
||||
self.info(f"Processed {processed + failed}/{len(cves)} CVEs...")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
failed += 1
|
||||
|
||||
# Small delay between batches
|
||||
await asyncio.sleep(1)
|
||||
|
||||
self.success(f"Year {year} processing completed!")
|
||||
self.success(f"Processed: {processed}, Failed: {failed}")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing year {year}: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
async def process_cve(self, cve_id: str, methods: List[str], force: bool):
|
||||
"""Process a specific CVE"""
|
||||
if not self.validate_cve_id(cve_id):
|
||||
self.error(f"Invalid CVE ID format: {cve_id}")
|
||||
return
|
||||
|
||||
self.info(f"Processing CVE: {cve_id}")
|
||||
self.info(f"Methods: {', '.join(methods)}")
|
||||
|
||||
try:
|
||||
# First ensure we have the CVE data
|
||||
year = int(cve_id.split('-')[1])
|
||||
await self._fetch_specific_cve_data(cve_id, year)
|
||||
|
||||
# Process the CVE
|
||||
success = await self._process_single_cve(cve_id, methods, force)
|
||||
|
||||
if success:
|
||||
self.success(f"Successfully processed {cve_id}")
|
||||
else:
|
||||
self.error(f"Failed to process {cve_id}")
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
async def process_bulk(self, start_year: int, end_year: int, methods: List[str], batch_size: int):
|
||||
"""Bulk process CVEs across multiple years"""
|
||||
self.info(f"Bulk processing CVEs from {start_year} to {end_year}")
|
||||
self.info(f"Methods: {', '.join(methods)}")
|
||||
|
||||
total_processed = 0
|
||||
total_failed = 0
|
||||
|
||||
for year in range(start_year, end_year + 1):
|
||||
try:
|
||||
self.info(f"\n--- Processing Year {year} ---")
|
||||
year_start_processed = total_processed
|
||||
|
||||
await self.process_year(year, methods, False, batch_size)
|
||||
|
||||
# Update totals (approximate, since process_year doesn't return counts)
|
||||
cves_in_year = len(self.get_all_cves(year))
|
||||
total_processed += cves_in_year
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing year {year}: {e}")
|
||||
total_failed += 1
|
||||
|
||||
self.success(f"\nBulk processing completed!")
|
||||
self.success(f"Years processed: {end_year - start_year + 1}")
|
||||
self.success(f"Approximate CVEs processed: {total_processed}")
|
||||
|
||||
async def process_incremental(self, days: int, methods: List[str]):
|
||||
"""Process recently modified CVEs"""
|
||||
self.info(f"Processing CVEs modified in the last {days} days")
|
||||
|
||||
cutoff_date = datetime.utcnow() - timedelta(days=days)
|
||||
self.info(f"Cutoff date: {cutoff_date.isoformat()}")
|
||||
|
||||
# Find CVEs modified since cutoff date
|
||||
recent_cves = []
|
||||
|
||||
for cve_id in self.get_all_cves():
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if metadata and 'cve_info' in metadata:
|
||||
modified_date_str = metadata['cve_info'].get('modified_date')
|
||||
if modified_date_str:
|
||||
try:
|
||||
modified_date = datetime.fromisoformat(modified_date_str.replace('Z', '+00:00'))
|
||||
if modified_date >= cutoff_date:
|
||||
recent_cves.append(cve_id)
|
||||
except (ValueError, TypeError):
|
||||
pass # Skip if date parsing fails
|
||||
|
||||
if not recent_cves:
|
||||
self.warning("No recently modified CVEs found")
|
||||
return
|
||||
|
||||
self.info(f"Found {len(recent_cves)} recently modified CVEs")
|
||||
|
||||
processed = 0
|
||||
failed = 0
|
||||
|
||||
for cve_id in recent_cves:
|
||||
try:
|
||||
success = await self._process_single_cve(cve_id, methods, False)
|
||||
if success:
|
||||
processed += 1
|
||||
else:
|
||||
failed += 1
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
failed += 1
|
||||
|
||||
self.success(f"Incremental processing completed!")
|
||||
self.success(f"Processed: {processed}, Failed: {failed}")
|
||||
|
||||
async def _fetch_cve_data_for_year(self, year: int, batch_size: int):
|
||||
"""Fetch CVE data for a specific year from NVD"""
|
||||
self.info(f"Fetching CVE data for year {year}...")
|
||||
|
||||
try:
|
||||
# Use the existing NVD bulk processor
|
||||
from main import SessionLocal # Import session factory
|
||||
db_session = SessionLocal()
|
||||
|
||||
try:
|
||||
processor = self.nvd_processor_class(db_session)
|
||||
|
||||
# Download and process NVD data for the year
|
||||
result = await processor.download_and_process_year(year)
|
||||
|
||||
if result.get('success'):
|
||||
self.info(f"Successfully fetched {result.get('processed_cves', 0)} CVEs for {year}")
|
||||
|
||||
# Convert database records to file structure
|
||||
await self._sync_database_to_files(db_session, year)
|
||||
else:
|
||||
self.warning(f"Issues fetching CVE data for {year}: {result.get('error', 'Unknown error')}")
|
||||
|
||||
finally:
|
||||
db_session.close()
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error fetching CVE data for year {year}: {e}")
|
||||
|
||||
async def _fetch_specific_cve_data(self, cve_id: str, year: int):
|
||||
"""Fetch data for a specific CVE"""
|
||||
# Check if we already have metadata for this CVE
|
||||
existing_metadata = self.load_cve_metadata(cve_id)
|
||||
if existing_metadata:
|
||||
return # Already have the data
|
||||
|
||||
# Fetch from NVD if not already present
|
||||
self.info(f"Fetching data for {cve_id}...")
|
||||
|
||||
try:
|
||||
from main import SessionLocal
|
||||
db_session = SessionLocal()
|
||||
|
||||
try:
|
||||
processor = self.nvd_processor_class(db_session)
|
||||
|
||||
# Fetch single CVE data
|
||||
result = await processor.fetch_single_cve(cve_id)
|
||||
|
||||
if result:
|
||||
# Convert to file structure
|
||||
await self._sync_single_cve_to_files(db_session, cve_id)
|
||||
self.info(f"Successfully fetched data for {cve_id}")
|
||||
else:
|
||||
self.warning(f"Could not fetch data for {cve_id}")
|
||||
|
||||
finally:
|
||||
db_session.close()
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error fetching data for {cve_id}: {e}")
|
||||
|
||||
async def _sync_database_to_files(self, db_session, year: int):
|
||||
"""Sync database records to file structure for a specific year"""
|
||||
try:
|
||||
from main import CVE
|
||||
|
||||
# Get all CVEs for the year from database
|
||||
year_pattern = f"CVE-{year}-%"
|
||||
cves = db_session.query(CVE).filter(CVE.cve_id.like(year_pattern)).all()
|
||||
|
||||
for cve in cves:
|
||||
await self._convert_cve_to_file(cve)
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error syncing database to files for year {year}: {e}")
|
||||
|
||||
async def _sync_single_cve_to_files(self, db_session, cve_id: str):
|
||||
"""Sync a single CVE from database to file structure"""
|
||||
try:
|
||||
from main import CVE
|
||||
|
||||
cve = db_session.query(CVE).filter(CVE.cve_id == cve_id).first()
|
||||
if cve:
|
||||
await self._convert_cve_to_file(cve)
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error syncing {cve_id} to files: {e}")
|
||||
|
||||
async def _convert_cve_to_file(self, cve):
|
||||
"""Convert a database CVE record to file structure"""
|
||||
try:
|
||||
# Create metadata structure
|
||||
metadata = {
|
||||
"cve_info": {
|
||||
"cve_id": cve.cve_id,
|
||||
"description": cve.description,
|
||||
"cvss_score": float(cve.cvss_score) if cve.cvss_score else None,
|
||||
"severity": cve.severity,
|
||||
"published_date": cve.published_date.isoformat() if cve.published_date else None,
|
||||
"modified_date": cve.modified_date.isoformat() if cve.modified_date else None,
|
||||
"affected_products": cve.affected_products or [],
|
||||
"reference_urls": cve.reference_urls or []
|
||||
},
|
||||
"poc_data": {
|
||||
"poc_count": getattr(cve, 'poc_count', 0),
|
||||
"poc_data": getattr(cve, 'poc_data', {}),
|
||||
},
|
||||
"processing": {
|
||||
"data_source": getattr(cve, 'data_source', 'nvd_api'),
|
||||
"bulk_processed": getattr(cve, 'bulk_processed', False),
|
||||
"reference_sync_status": getattr(cve, 'reference_sync_status', 'pending')
|
||||
},
|
||||
"file_manifest": [],
|
||||
"rule_generation": {},
|
||||
"created_at": cve.created_at.isoformat() if cve.created_at else datetime.utcnow().isoformat(),
|
||||
"updated_at": datetime.utcnow().isoformat()
|
||||
}
|
||||
|
||||
# Save metadata
|
||||
self.save_cve_metadata(cve.cve_id, metadata)
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error converting CVE {cve.cve_id} to file: {e}")
|
||||
|
||||
async def _process_single_cve(self, cve_id: str, methods: List[str], force: bool) -> bool:
|
||||
"""Process a single CVE with specified methods"""
|
||||
try:
|
||||
# Load CVE metadata
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
self.error(f"No metadata found for {cve_id}")
|
||||
return False
|
||||
|
||||
# Check if processing is needed
|
||||
existing_rules = self.list_cve_rules(cve_id)
|
||||
if existing_rules and not force:
|
||||
self.info(f"Rules already exist for {cve_id}, skipping (use --force to regenerate)")
|
||||
return True
|
||||
|
||||
success = True
|
||||
|
||||
# Process with each requested method
|
||||
for method in methods:
|
||||
if method == 'all':
|
||||
# Generate with all available methods
|
||||
await self._generate_template_rule(cve_id, metadata)
|
||||
await self._generate_llm_rule(cve_id, metadata, 'openai')
|
||||
await self._generate_llm_rule(cve_id, metadata, 'anthropic')
|
||||
await self._generate_hybrid_rule(cve_id, metadata)
|
||||
elif method == 'template':
|
||||
await self._generate_template_rule(cve_id, metadata)
|
||||
elif method == 'llm':
|
||||
await self._generate_llm_rule(cve_id, metadata)
|
||||
elif method == 'hybrid':
|
||||
await self._generate_hybrid_rule(cve_id, metadata)
|
||||
|
||||
return success
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
return False
|
||||
|
||||
async def _generate_template_rule(self, cve_id: str, metadata: Dict) -> bool:
|
||||
"""Generate template-based SIGMA rule"""
|
||||
try:
|
||||
from main import SessionLocal
|
||||
|
||||
db_session = SessionLocal()
|
||||
try:
|
||||
generator = self.sigma_generator_class(db_session)
|
||||
|
||||
# Create mock CVE object from metadata
|
||||
class MockCVE:
|
||||
def __init__(self, meta):
|
||||
cve_info = meta.get('cve_info', {})
|
||||
self.cve_id = cve_info.get('cve_id')
|
||||
self.description = cve_info.get('description')
|
||||
self.severity = cve_info.get('severity')
|
||||
self.affected_products = cve_info.get('affected_products', [])
|
||||
self.poc_data = meta.get('poc_data', {}).get('poc_data', {})
|
||||
|
||||
mock_cve = MockCVE(metadata)
|
||||
|
||||
# Generate rule using template method
|
||||
rule_content = await generator._generate_template_based_rule(mock_cve, None, None)
|
||||
|
||||
if rule_content:
|
||||
self.save_sigma_rule(cve_id, "rule_template.sigma", rule_content)
|
||||
self.info(f"Generated template rule for {cve_id}")
|
||||
return True
|
||||
else:
|
||||
self.warning(f"Failed to generate template rule for {cve_id}")
|
||||
return False
|
||||
|
||||
finally:
|
||||
db_session.close()
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error generating template rule for {cve_id}: {e}")
|
||||
return False
|
||||
|
||||
async def _generate_llm_rule(self, cve_id: str, metadata: Dict, provider: str = 'openai') -> bool:
|
||||
"""Generate LLM-based SIGMA rule"""
|
||||
try:
|
||||
from main import SessionLocal
|
||||
|
||||
db_session = SessionLocal()
|
||||
try:
|
||||
generator = self.sigma_generator_class(db_session, llm_provider=provider)
|
||||
|
||||
# Check if LLM is available
|
||||
if not generator.llm_client.is_available():
|
||||
self.warning(f"LLM provider {provider} not available for {cve_id}")
|
||||
return False
|
||||
|
||||
# Create mock CVE object
|
||||
class MockCVE:
|
||||
def __init__(self, meta):
|
||||
cve_info = meta.get('cve_info', {})
|
||||
self.cve_id = cve_info.get('cve_id')
|
||||
self.description = cve_info.get('description', '')
|
||||
self.severity = cve_info.get('severity')
|
||||
self.affected_products = cve_info.get('affected_products', [])
|
||||
self.poc_data = meta.get('poc_data', {}).get('poc_data', {})
|
||||
|
||||
mock_cve = MockCVE(metadata)
|
||||
|
||||
# Get PoC data for enhanced generation
|
||||
poc_data = metadata.get('poc_data', {}).get('poc_data', {})
|
||||
best_poc = None
|
||||
poc_content = ""
|
||||
|
||||
# Try to find best PoC content
|
||||
if poc_data and 'nomi_sec' in poc_data:
|
||||
nomi_pocs = poc_data['nomi_sec']
|
||||
if nomi_pocs:
|
||||
best_poc = nomi_pocs[0] # Use first PoC
|
||||
poc_content = best_poc.get('content', '')
|
||||
|
||||
# Generate LLM-enhanced rule
|
||||
rule_content = await generator.llm_client.generate_sigma_rule(
|
||||
cve_id=cve_id,
|
||||
poc_content=poc_content,
|
||||
cve_description=mock_cve.description
|
||||
)
|
||||
|
||||
if rule_content:
|
||||
filename = f"rule_llm_{provider}.sigma"
|
||||
self.save_sigma_rule(cve_id, filename, rule_content)
|
||||
self.info(f"Generated {provider} LLM rule for {cve_id}")
|
||||
return True
|
||||
else:
|
||||
self.warning(f"Failed to generate {provider} LLM rule for {cve_id}")
|
||||
return False
|
||||
|
||||
finally:
|
||||
db_session.close()
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error generating {provider} LLM rule for {cve_id}: {e}")
|
||||
return False
|
||||
|
||||
async def _generate_hybrid_rule(self, cve_id: str, metadata: Dict) -> bool:
|
||||
"""Generate hybrid SIGMA rule (template + LLM enhancement)"""
|
||||
try:
|
||||
# First generate template-based rule
|
||||
template_success = await self._generate_template_rule(cve_id, metadata)
|
||||
|
||||
if not template_success:
|
||||
return False
|
||||
|
||||
# Then enhance with LLM if available
|
||||
llm_success = await self._generate_llm_rule(cve_id, metadata, 'openai')
|
||||
|
||||
if llm_success:
|
||||
# Load both rules and create hybrid version
|
||||
template_rule = self.load_sigma_rule(cve_id, "rule_template.sigma")
|
||||
llm_rule = self.load_sigma_rule(cve_id, "rule_llm_openai.sigma")
|
||||
|
||||
if template_rule and llm_rule:
|
||||
# Simple hybrid: use LLM rule but keep template metadata structure
|
||||
# This is a simplified approach - could be made more sophisticated
|
||||
hybrid_rule = llm_rule # For now, just use the LLM rule as hybrid
|
||||
|
||||
self.save_sigma_rule(cve_id, "rule_hybrid.sigma", hybrid_rule)
|
||||
self.info(f"Generated hybrid rule for {cve_id}")
|
||||
return True
|
||||
|
||||
# If LLM enhancement failed, template rule is still valid
|
||||
return template_success
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error generating hybrid rule for {cve_id}: {e}")
|
||||
return False
|
||||
194
cli/commands/search_commands.py
Normal file
194
cli/commands/search_commands.py
Normal file
|
|
@ -0,0 +1,194 @@
|
|||
"""
|
||||
Search Commands
|
||||
|
||||
Commands for searching CVEs and SIGMA rules in the file-based system.
|
||||
"""
|
||||
|
||||
import re
|
||||
from typing import Dict, List, Optional, Tuple
|
||||
from .base_command import BaseCommand
|
||||
|
||||
class SearchCommands(BaseCommand):
|
||||
"""Commands for searching CVEs and rules"""
|
||||
|
||||
async def search_cves(self, pattern: str, year: Optional[int], severity: Optional[str],
|
||||
has_poc: bool, has_rules: bool, limit: int):
|
||||
"""Search for CVEs by pattern"""
|
||||
self.info(f"Searching CVEs with pattern: '{pattern}'")
|
||||
|
||||
if year:
|
||||
self.info(f"Filtering by year: {year}")
|
||||
if severity:
|
||||
self.info(f"Filtering by severity: {severity}")
|
||||
if has_poc:
|
||||
self.info("Only showing CVEs with PoC data")
|
||||
if has_rules:
|
||||
self.info("Only showing CVEs with generated rules")
|
||||
|
||||
# Get CVEs to search
|
||||
cves_to_search = self.get_all_cves(year)
|
||||
|
||||
if not cves_to_search:
|
||||
self.warning("No CVEs found to search")
|
||||
return
|
||||
|
||||
matches = []
|
||||
pattern_regex = re.compile(pattern, re.IGNORECASE)
|
||||
|
||||
for cve_id in cves_to_search:
|
||||
try:
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
continue
|
||||
|
||||
cve_info = metadata.get('cve_info', {})
|
||||
poc_data = metadata.get('poc_data', {})
|
||||
|
||||
# Apply filters
|
||||
if severity and cve_info.get('severity', '').lower() != severity.lower():
|
||||
continue
|
||||
|
||||
if has_poc and poc_data.get('poc_count', 0) == 0:
|
||||
continue
|
||||
|
||||
if has_rules:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
if not rules:
|
||||
continue
|
||||
|
||||
# Check pattern match
|
||||
match_found = False
|
||||
|
||||
# Search in CVE ID
|
||||
if pattern_regex.search(cve_id):
|
||||
match_found = True
|
||||
|
||||
# Search in description
|
||||
description = cve_info.get('description', '')
|
||||
if description and pattern_regex.search(description):
|
||||
match_found = True
|
||||
|
||||
# Search in affected products
|
||||
products = cve_info.get('affected_products', [])
|
||||
for product in products:
|
||||
if pattern_regex.search(product):
|
||||
match_found = True
|
||||
break
|
||||
|
||||
if match_found:
|
||||
rule_count = len(self.list_cve_rules(cve_id))
|
||||
matches.append({
|
||||
'cve_id': cve_id,
|
||||
'severity': cve_info.get('severity', 'Unknown'),
|
||||
'cvss_score': cve_info.get('cvss_score', 'N/A'),
|
||||
'poc_count': poc_data.get('poc_count', 0),
|
||||
'rule_count': rule_count,
|
||||
'description': (description[:100] + '...') if len(description) > 100 else description
|
||||
})
|
||||
|
||||
if len(matches) >= limit:
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error searching {cve_id}: {e}")
|
||||
|
||||
# Display results
|
||||
if matches:
|
||||
headers = ["CVE ID", "Severity", "CVSS", "PoCs", "Rules", "Description"]
|
||||
rows = []
|
||||
|
||||
for match in matches:
|
||||
rows.append([
|
||||
match['cve_id'],
|
||||
match['severity'],
|
||||
str(match['cvss_score']),
|
||||
str(match['poc_count']),
|
||||
str(match['rule_count']),
|
||||
match['description']
|
||||
])
|
||||
|
||||
self.print_table(headers, rows, f"CVE Search Results ({len(matches)} matches)")
|
||||
else:
|
||||
self.warning("No matching CVEs found")
|
||||
|
||||
async def search_rules(self, pattern: str, rule_type: Optional[str], method: Optional[str], limit: int):
|
||||
"""Search for SIGMA rules by pattern"""
|
||||
self.info(f"Searching SIGMA rules with pattern: '{pattern}'")
|
||||
|
||||
if rule_type:
|
||||
self.info(f"Filtering by rule type: {rule_type}")
|
||||
if method:
|
||||
self.info(f"Filtering by generation method: {method}")
|
||||
|
||||
matches = []
|
||||
pattern_regex = re.compile(pattern, re.IGNORECASE)
|
||||
|
||||
# Search through all CVEs and their rules
|
||||
all_cves = self.get_all_cves()
|
||||
|
||||
for cve_id in all_cves:
|
||||
try:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
|
||||
for rule_file in rules:
|
||||
# Apply method filter
|
||||
if method:
|
||||
rule_method = rule_file.replace('rule_', '').replace('.sigma', '')
|
||||
if method.lower() not in rule_method.lower():
|
||||
continue
|
||||
|
||||
# Load and search rule content
|
||||
rule_content = self.load_sigma_rule(cve_id, rule_file)
|
||||
if not rule_content:
|
||||
continue
|
||||
|
||||
# Apply rule type filter (search in logsource)
|
||||
if rule_type:
|
||||
if f'category: {rule_type}' not in rule_content.lower() and \
|
||||
f'product: {rule_type}' not in rule_content.lower():
|
||||
continue
|
||||
|
||||
# Check pattern match in rule content
|
||||
if pattern_regex.search(rule_content):
|
||||
# Extract rule title
|
||||
title_match = re.search(r'^title:\s*(.+)$', rule_content, re.MULTILINE)
|
||||
title = title_match.group(1) if title_match else 'Unknown'
|
||||
|
||||
# Extract detection type from logsource
|
||||
logsource_match = re.search(r'category:\s*(\w+)', rule_content)
|
||||
detection_type = logsource_match.group(1) if logsource_match else 'Unknown'
|
||||
|
||||
matches.append({
|
||||
'cve_id': cve_id,
|
||||
'rule_file': rule_file,
|
||||
'title': title,
|
||||
'detection_type': detection_type,
|
||||
'method': rule_file.replace('rule_', '').replace('.sigma', '')
|
||||
})
|
||||
|
||||
if len(matches) >= limit:
|
||||
break
|
||||
|
||||
if len(matches) >= limit:
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error searching rules for {cve_id}: {e}")
|
||||
|
||||
# Display results
|
||||
if matches:
|
||||
headers = ["CVE ID", "Rule File", "Title", "Type", "Method"]
|
||||
rows = []
|
||||
|
||||
for match in matches:
|
||||
rows.append([
|
||||
match['cve_id'],
|
||||
match['rule_file'],
|
||||
match['title'][:50] + '...' if len(match['title']) > 50 else match['title'],
|
||||
match['detection_type'],
|
||||
match['method']
|
||||
])
|
||||
|
||||
self.print_table(headers, rows, f"SIGMA Rule Search Results ({len(matches)} matches)")
|
||||
else:
|
||||
self.warning("No matching rules found")
|
||||
296
cli/commands/stats_commands.py
Normal file
296
cli/commands/stats_commands.py
Normal file
|
|
@ -0,0 +1,296 @@
|
|||
"""
|
||||
Statistics Commands
|
||||
|
||||
Commands for generating statistics and reports about CVEs and SIGMA rules.
|
||||
"""
|
||||
|
||||
import json
|
||||
from datetime import datetime
|
||||
from collections import defaultdict, Counter
|
||||
from typing import Dict, List, Optional
|
||||
from .base_command import BaseCommand
|
||||
|
||||
class StatsCommands(BaseCommand):
|
||||
"""Commands for generating statistics"""
|
||||
|
||||
async def overview(self, year: Optional[int], output: Optional[str]):
|
||||
"""Generate overview statistics"""
|
||||
self.info("Generating overview statistics...")
|
||||
|
||||
# Collect statistics
|
||||
stats = self._collect_overview_stats(year)
|
||||
|
||||
# Display overview
|
||||
self._display_overview_stats(stats, year)
|
||||
|
||||
# Save to file if requested
|
||||
if output:
|
||||
try:
|
||||
with open(output, 'w') as f:
|
||||
json.dump(stats, f, indent=2, default=str)
|
||||
self.success(f"Statistics saved to {output}")
|
||||
except Exception as e:
|
||||
self.error(f"Failed to save statistics: {e}")
|
||||
|
||||
async def poc_stats(self, year: Optional[int]):
|
||||
"""Generate PoC coverage statistics"""
|
||||
self.info("Generating PoC coverage statistics...")
|
||||
|
||||
cves = self.get_all_cves(year)
|
||||
if not cves:
|
||||
self.warning("No CVEs found")
|
||||
return
|
||||
|
||||
# Collect PoC statistics
|
||||
total_cves = len(cves)
|
||||
cves_with_pocs = 0
|
||||
poc_sources = Counter()
|
||||
quality_distribution = Counter()
|
||||
severity_poc_breakdown = defaultdict(lambda: {'total': 0, 'with_poc': 0})
|
||||
|
||||
for cve_id in cves:
|
||||
try:
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
continue
|
||||
|
||||
cve_info = metadata.get('cve_info', {})
|
||||
poc_data = metadata.get('poc_data', {})
|
||||
severity = cve_info.get('severity', 'Unknown')
|
||||
|
||||
severity_poc_breakdown[severity]['total'] += 1
|
||||
|
||||
poc_count = poc_data.get('poc_count', 0)
|
||||
if poc_count > 0:
|
||||
cves_with_pocs += 1
|
||||
severity_poc_breakdown[severity]['with_poc'] += 1
|
||||
|
||||
# Count PoC sources
|
||||
if 'poc_data' in poc_data:
|
||||
poc_info = poc_data['poc_data']
|
||||
if 'nomi_sec' in poc_info and poc_info['nomi_sec']:
|
||||
poc_sources['nomi_sec'] += len(poc_info['nomi_sec'])
|
||||
if 'github' in poc_info and poc_info['github']:
|
||||
poc_sources['github'] += len(poc_info['github'])
|
||||
if 'exploitdb' in poc_info and poc_info['exploitdb']:
|
||||
poc_sources['exploitdb'] += len(poc_info['exploitdb'])
|
||||
|
||||
# Quality assessment based on PoC count
|
||||
if poc_count >= 5:
|
||||
quality_distribution['excellent'] += 1
|
||||
elif poc_count >= 3:
|
||||
quality_distribution['good'] += 1
|
||||
elif poc_count >= 1:
|
||||
quality_distribution['fair'] += 1
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
|
||||
# Display PoC statistics
|
||||
coverage_percent = (cves_with_pocs / total_cves * 100) if total_cves > 0 else 0
|
||||
|
||||
title = f"PoC Coverage Statistics"
|
||||
if year:
|
||||
title += f" for {year}"
|
||||
|
||||
self.info(f"\n{title}")
|
||||
self.info("=" * len(title))
|
||||
self.info(f"Total CVEs: {total_cves}")
|
||||
self.info(f"CVEs with PoCs: {cves_with_pocs}")
|
||||
self.info(f"Coverage: {coverage_percent:.1f}%")
|
||||
|
||||
if poc_sources:
|
||||
self.info(f"\nPoC Sources:")
|
||||
for source, count in poc_sources.most_common():
|
||||
self.info(f" {source}: {count}")
|
||||
|
||||
if quality_distribution:
|
||||
self.info(f"\nQuality Distribution:")
|
||||
for quality, count in quality_distribution.most_common():
|
||||
self.info(f" {quality}: {count}")
|
||||
|
||||
# Severity breakdown table
|
||||
if severity_poc_breakdown:
|
||||
headers = ["Severity", "Total CVEs", "With PoCs", "Coverage %"]
|
||||
rows = []
|
||||
|
||||
for severity, data in sorted(severity_poc_breakdown.items()):
|
||||
coverage = (data['with_poc'] / data['total'] * 100) if data['total'] > 0 else 0
|
||||
rows.append([
|
||||
severity,
|
||||
str(data['total']),
|
||||
str(data['with_poc']),
|
||||
f"{coverage:.1f}%"
|
||||
])
|
||||
|
||||
self.print_table(headers, rows, "PoC Coverage by Severity")
|
||||
|
||||
async def rule_stats(self, year: Optional[int], method: Optional[str]):
|
||||
"""Generate rule generation statistics"""
|
||||
self.info("Generating rule generation statistics...")
|
||||
|
||||
cves = self.get_all_cves(year)
|
||||
if not cves:
|
||||
self.warning("No CVEs found")
|
||||
return
|
||||
|
||||
# Collect rule statistics
|
||||
total_cves = len(cves)
|
||||
cves_with_rules = 0
|
||||
method_counts = Counter()
|
||||
rules_per_cve = []
|
||||
|
||||
for cve_id in cves:
|
||||
try:
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
|
||||
if method:
|
||||
# Filter rules by method
|
||||
rules = [r for r in rules if method.lower() in r.lower()]
|
||||
|
||||
if rules:
|
||||
cves_with_rules += 1
|
||||
rules_per_cve.append(len(rules))
|
||||
|
||||
for rule_file in rules:
|
||||
rule_method = rule_file.replace('rule_', '').replace('.sigma', '')
|
||||
method_counts[rule_method] += 1
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error processing {cve_id}: {e}")
|
||||
|
||||
# Calculate statistics
|
||||
rule_coverage = (cves_with_rules / total_cves * 100) if total_cves > 0 else 0
|
||||
avg_rules_per_cve = sum(rules_per_cve) / len(rules_per_cve) if rules_per_cve else 0
|
||||
total_rules = sum(method_counts.values())
|
||||
|
||||
# Display rule statistics
|
||||
title = f"Rule Generation Statistics"
|
||||
if year:
|
||||
title += f" for {year}"
|
||||
if method:
|
||||
title += f" (method: {method})"
|
||||
|
||||
self.info(f"\n{title}")
|
||||
self.info("=" * len(title))
|
||||
self.info(f"Total CVEs: {total_cves}")
|
||||
self.info(f"CVEs with rules: {cves_with_rules}")
|
||||
self.info(f"Rule coverage: {rule_coverage:.1f}%")
|
||||
self.info(f"Total rules: {total_rules}")
|
||||
self.info(f"Average rules per CVE: {avg_rules_per_cve:.1f}")
|
||||
|
||||
if method_counts:
|
||||
headers = ["Generation Method", "Rule Count", "% of Total"]
|
||||
rows = []
|
||||
|
||||
for gen_method, count in method_counts.most_common():
|
||||
percentage = (count / total_rules * 100) if total_rules > 0 else 0
|
||||
rows.append([
|
||||
gen_method,
|
||||
str(count),
|
||||
f"{percentage:.1f}%"
|
||||
])
|
||||
|
||||
self.print_table(headers, rows, "Rules by Generation Method")
|
||||
|
||||
def _collect_overview_stats(self, year: Optional[int]) -> Dict:
|
||||
"""Collect comprehensive overview statistics"""
|
||||
cves = self.get_all_cves(year)
|
||||
|
||||
stats = {
|
||||
'generated_at': datetime.utcnow().isoformat(),
|
||||
'filter_year': year,
|
||||
'total_cves': len(cves),
|
||||
'severity_breakdown': Counter(),
|
||||
'yearly_breakdown': Counter(),
|
||||
'poc_stats': {
|
||||
'cves_with_pocs': 0,
|
||||
'total_poc_count': 0
|
||||
},
|
||||
'rule_stats': {
|
||||
'cves_with_rules': 0,
|
||||
'total_rule_count': 0,
|
||||
'generation_methods': Counter()
|
||||
}
|
||||
}
|
||||
|
||||
for cve_id in cves:
|
||||
try:
|
||||
metadata = self.load_cve_metadata(cve_id)
|
||||
if not metadata:
|
||||
continue
|
||||
|
||||
cve_info = metadata.get('cve_info', {})
|
||||
poc_data = metadata.get('poc_data', {})
|
||||
|
||||
# Year breakdown
|
||||
cve_year = cve_id.split('-')[1]
|
||||
stats['yearly_breakdown'][cve_year] += 1
|
||||
|
||||
# Severity breakdown
|
||||
severity = cve_info.get('severity', 'Unknown')
|
||||
stats['severity_breakdown'][severity] += 1
|
||||
|
||||
# PoC statistics
|
||||
poc_count = poc_data.get('poc_count', 0)
|
||||
if poc_count > 0:
|
||||
stats['poc_stats']['cves_with_pocs'] += 1
|
||||
stats['poc_stats']['total_poc_count'] += poc_count
|
||||
|
||||
# Rule statistics
|
||||
rules = self.list_cve_rules(cve_id)
|
||||
if rules:
|
||||
stats['rule_stats']['cves_with_rules'] += 1
|
||||
stats['rule_stats']['total_rule_count'] += len(rules)
|
||||
|
||||
for rule_file in rules:
|
||||
method = rule_file.replace('rule_', '').replace('.sigma', '')
|
||||
stats['rule_stats']['generation_methods'][method] += 1
|
||||
|
||||
except Exception as e:
|
||||
self.error(f"Error collecting stats for {cve_id}: {e}")
|
||||
|
||||
return stats
|
||||
|
||||
def _display_overview_stats(self, stats: Dict, year: Optional[int]):
|
||||
"""Display overview statistics"""
|
||||
title = f"CVE-SIGMA Overview Statistics"
|
||||
if year:
|
||||
title += f" for {year}"
|
||||
|
||||
self.info(f"\n{title}")
|
||||
self.info("=" * len(title))
|
||||
self.info(f"Generated at: {stats['generated_at']}")
|
||||
self.info(f"Total CVEs: {stats['total_cves']}")
|
||||
|
||||
# PoC coverage
|
||||
poc_stats = stats['poc_stats']
|
||||
poc_coverage = (poc_stats['cves_with_pocs'] / stats['total_cves'] * 100) if stats['total_cves'] > 0 else 0
|
||||
self.info(f"PoC coverage: {poc_coverage:.1f}% ({poc_stats['cves_with_pocs']} CVEs)")
|
||||
|
||||
# Rule coverage
|
||||
rule_stats = stats['rule_stats']
|
||||
rule_coverage = (rule_stats['cves_with_rules'] / stats['total_cves'] * 100) if stats['total_cves'] > 0 else 0
|
||||
self.info(f"Rule coverage: {rule_coverage:.1f}% ({rule_stats['cves_with_rules']} CVEs)")
|
||||
self.info(f"Total rules: {rule_stats['total_rule_count']}")
|
||||
|
||||
# Severity breakdown
|
||||
if stats['severity_breakdown']:
|
||||
headers = ["Severity", "Count", "Percentage"]
|
||||
rows = []
|
||||
|
||||
for severity, count in stats['severity_breakdown'].most_common():
|
||||
percentage = (count / stats['total_cves'] * 100) if stats['total_cves'] > 0 else 0
|
||||
rows.append([severity, str(count), f"{percentage:.1f}%"])
|
||||
|
||||
self.print_table(headers, rows, "CVEs by Severity")
|
||||
|
||||
# Yearly breakdown (if not filtered by year)
|
||||
if not year and stats['yearly_breakdown']:
|
||||
headers = ["Year", "CVE Count"]
|
||||
rows = []
|
||||
|
||||
for cve_year, count in sorted(stats['yearly_breakdown'].items()):
|
||||
rows.append([cve_year, str(count)])
|
||||
|
||||
self.print_table(headers, rows, "CVEs by Year")
|
||||
16
cli/requirements.txt
Normal file
16
cli/requirements.txt
Normal file
|
|
@ -0,0 +1,16 @@
|
|||
# CLI Requirements for SIGMA CLI Tool
|
||||
# Core dependencies
|
||||
click>=8.0.0
|
||||
pyyaml>=6.0
|
||||
asyncio-throttle>=1.0.0
|
||||
|
||||
# Database support (for migration)
|
||||
sqlalchemy>=1.4.0
|
||||
psycopg2-binary>=2.9.0
|
||||
|
||||
# Optional: Enhanced formatting
|
||||
colorama>=0.4.0
|
||||
tabulate>=0.9.0
|
||||
|
||||
# Import existing backend requirements
|
||||
-r ../backend/requirements.txt
|
||||
313
cli/sigma_cli.py
Executable file
313
cli/sigma_cli.py
Executable file
|
|
@ -0,0 +1,313 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
SIGMA CLI - CVE-SIGMA Auto Generator Command Line Interface
|
||||
|
||||
A CLI tool for processing CVEs and generating SIGMA detection rules
|
||||
in a file-based directory structure.
|
||||
|
||||
Author: CVE-SIGMA Auto Generator
|
||||
"""
|
||||
|
||||
import click
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
import json
|
||||
from typing import Optional, List
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
|
||||
# Add parent directories to path for imports
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'backend'))
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'core'))
|
||||
|
||||
# Import CLI command modules
|
||||
from commands.process_commands import ProcessCommands
|
||||
from commands.generate_commands import GenerateCommands
|
||||
from commands.search_commands import SearchCommands
|
||||
from commands.stats_commands import StatsCommands
|
||||
from commands.export_commands import ExportCommands
|
||||
from commands.migrate_commands import MigrateCommands
|
||||
|
||||
# Global CLI configuration
|
||||
class Config:
|
||||
def __init__(self):
|
||||
self.base_dir = Path.cwd()
|
||||
self.cves_dir = self.base_dir / "cves"
|
||||
self.templates_dir = self.base_dir / "backend" / "templates"
|
||||
self.reports_dir = self.base_dir / "reports"
|
||||
self.config_file = Path.home() / ".sigma-cli" / "config.yaml"
|
||||
|
||||
# Ensure directories exist
|
||||
self.cves_dir.mkdir(exist_ok=True)
|
||||
self.reports_dir.mkdir(exist_ok=True)
|
||||
(Path.home() / ".sigma-cli").mkdir(exist_ok=True)
|
||||
|
||||
pass_config = click.make_pass_decorator(Config, ensure=True)
|
||||
|
||||
@click.group()
|
||||
@click.option('--verbose', '-v', is_flag=True, help='Enable verbose output')
|
||||
@click.option('--config', '-c', type=click.Path(), help='Path to configuration file')
|
||||
@click.pass_context
|
||||
def cli(ctx, verbose, config):
|
||||
"""
|
||||
SIGMA CLI - CVE-SIGMA Auto Generator
|
||||
|
||||
A command line tool for processing CVEs and generating SIGMA detection rules.
|
||||
Rules are stored in a file-based directory structure organized by year and CVE-ID.
|
||||
"""
|
||||
ctx.ensure_object(Config)
|
||||
if verbose:
|
||||
click.echo("Verbose mode enabled")
|
||||
|
||||
if config:
|
||||
ctx.obj.config_file = Path(config)
|
||||
|
||||
# Initialize logging
|
||||
import logging
|
||||
level = logging.DEBUG if verbose else logging.INFO
|
||||
logging.basicConfig(level=level, format='%(asctime)s - %(levelname)s - %(message)s')
|
||||
|
||||
# Process commands
|
||||
@cli.group()
|
||||
@pass_config
|
||||
def process(config):
|
||||
"""Process CVEs and generate SIGMA rules"""
|
||||
pass
|
||||
|
||||
@process.command('year')
|
||||
@click.argument('year', type=int)
|
||||
@click.option('--method', '-m', multiple=True, type=click.Choice(['template', 'llm', 'hybrid', 'all']),
|
||||
default=['template'], help='Rule generation method(s)')
|
||||
@click.option('--force', '-f', is_flag=True, help='Force regeneration of existing rules')
|
||||
@click.option('--batch-size', '-b', default=50, help='Batch size for processing')
|
||||
@pass_config
|
||||
def process_year(config, year, method, force, batch_size):
|
||||
"""Process all CVEs for a specific year"""
|
||||
cmd = ProcessCommands(config)
|
||||
asyncio.run(cmd.process_year(year, method, force, batch_size))
|
||||
|
||||
@process.command('cve')
|
||||
@click.argument('cve_id')
|
||||
@click.option('--method', '-m', multiple=True, type=click.Choice(['template', 'llm', 'hybrid', 'all']),
|
||||
default=['template'], help='Rule generation method(s)')
|
||||
@click.option('--force', '-f', is_flag=True, help='Force regeneration of existing rules')
|
||||
@pass_config
|
||||
def process_cve(config, cve_id, method, force):
|
||||
"""Process a specific CVE"""
|
||||
cmd = ProcessCommands(config)
|
||||
asyncio.run(cmd.process_cve(cve_id, method, force))
|
||||
|
||||
@process.command('bulk')
|
||||
@click.option('--start-year', default=2022, help='Starting year for bulk processing')
|
||||
@click.option('--end-year', default=datetime.now().year, help='Ending year for bulk processing')
|
||||
@click.option('--method', '-m', multiple=True, type=click.Choice(['template', 'llm', 'hybrid', 'all']),
|
||||
default=['template'], help='Rule generation method(s)')
|
||||
@click.option('--batch-size', '-b', default=50, help='Batch size for processing')
|
||||
@pass_config
|
||||
def process_bulk(config, start_year, end_year, method, batch_size):
|
||||
"""Bulk process all CVEs across multiple years"""
|
||||
cmd = ProcessCommands(config)
|
||||
asyncio.run(cmd.process_bulk(start_year, end_year, method, batch_size))
|
||||
|
||||
@process.command('incremental')
|
||||
@click.option('--days', '-d', default=7, help='Process CVEs modified in the last N days')
|
||||
@click.option('--method', '-m', multiple=True, type=click.Choice(['template', 'llm', 'hybrid', 'all']),
|
||||
default=['template'], help='Rule generation method(s)')
|
||||
@pass_config
|
||||
def process_incremental(config, days, method):
|
||||
"""Process recently modified CVEs"""
|
||||
cmd = ProcessCommands(config)
|
||||
asyncio.run(cmd.process_incremental(days, method))
|
||||
|
||||
# Generate commands
|
||||
@cli.group()
|
||||
@pass_config
|
||||
def generate(config):
|
||||
"""Generate SIGMA rules for existing CVEs"""
|
||||
pass
|
||||
|
||||
@generate.command('cve')
|
||||
@click.argument('cve_id')
|
||||
@click.option('--method', '-m', type=click.Choice(['template', 'llm', 'hybrid', 'all']),
|
||||
default='template', help='Rule generation method')
|
||||
@click.option('--provider', '-p', type=click.Choice(['openai', 'anthropic', 'ollama']),
|
||||
help='LLM provider for LLM-based generation')
|
||||
@click.option('--model', help='Specific model to use')
|
||||
@click.option('--force', '-f', is_flag=True, help='Force regeneration of existing rules')
|
||||
@pass_config
|
||||
def generate_cve(config, cve_id, method, provider, model, force):
|
||||
"""Generate SIGMA rules for a specific CVE"""
|
||||
cmd = GenerateCommands(config)
|
||||
asyncio.run(cmd.generate_cve(cve_id, method, provider, model, force))
|
||||
|
||||
@generate.command('regenerate')
|
||||
@click.option('--year', type=int, help='Regenerate rules for specific year')
|
||||
@click.option('--method', '-m', type=click.Choice(['template', 'llm', 'hybrid', 'all']),
|
||||
default='all', help='Rule generation method')
|
||||
@click.option('--filter-quality', type=click.Choice(['excellent', 'good', 'fair']),
|
||||
help='Only regenerate rules for CVEs with specific PoC quality')
|
||||
@pass_config
|
||||
def generate_regenerate(config, year, method, filter_quality):
|
||||
"""Regenerate existing SIGMA rules"""
|
||||
cmd = GenerateCommands(config)
|
||||
asyncio.run(cmd.regenerate_rules(year, method, filter_quality))
|
||||
|
||||
# Search commands
|
||||
@cli.group()
|
||||
@pass_config
|
||||
def search(config):
|
||||
"""Search CVEs and SIGMA rules"""
|
||||
pass
|
||||
|
||||
@search.command('cve')
|
||||
@click.argument('pattern')
|
||||
@click.option('--year', type=int, help='Search within specific year')
|
||||
@click.option('--severity', type=click.Choice(['low', 'medium', 'high', 'critical']), help='Filter by severity')
|
||||
@click.option('--has-poc', is_flag=True, help='Only show CVEs with PoC data')
|
||||
@click.option('--has-rules', is_flag=True, help='Only show CVEs with generated rules')
|
||||
@click.option('--limit', '-l', default=20, help='Limit number of results')
|
||||
@pass_config
|
||||
def search_cve(config, pattern, year, severity, has_poc, has_rules, limit):
|
||||
"""Search for CVEs by pattern"""
|
||||
cmd = SearchCommands(config)
|
||||
asyncio.run(cmd.search_cves(pattern, year, severity, has_poc, has_rules, limit))
|
||||
|
||||
@search.command('rules')
|
||||
@click.argument('pattern')
|
||||
@click.option('--rule-type', help='Filter by rule type (e.g., process, network, file)')
|
||||
@click.option('--method', type=click.Choice(['template', 'llm', 'hybrid']), help='Filter by generation method')
|
||||
@click.option('--limit', '-l', default=20, help='Limit number of results')
|
||||
@pass_config
|
||||
def search_rules(config, pattern, rule_type, method, limit):
|
||||
"""Search for SIGMA rules by pattern"""
|
||||
cmd = SearchCommands(config)
|
||||
asyncio.run(cmd.search_rules(pattern, rule_type, method, limit))
|
||||
|
||||
# Statistics commands
|
||||
@cli.group()
|
||||
@pass_config
|
||||
def stats(config):
|
||||
"""Generate statistics and reports"""
|
||||
pass
|
||||
|
||||
@stats.command('overview')
|
||||
@click.option('--year', type=int, help='Statistics for specific year')
|
||||
@click.option('--output', '-o', type=click.Path(), help='Save output to file')
|
||||
@pass_config
|
||||
def stats_overview(config, year, output):
|
||||
"""Generate overview statistics"""
|
||||
cmd = StatsCommands(config)
|
||||
asyncio.run(cmd.overview(year, output))
|
||||
|
||||
@stats.command('poc')
|
||||
@click.option('--year', type=int, help='PoC statistics for specific year')
|
||||
@pass_config
|
||||
def stats_poc(config, year):
|
||||
"""Generate PoC coverage statistics"""
|
||||
cmd = StatsCommands(config)
|
||||
asyncio.run(cmd.poc_stats(year))
|
||||
|
||||
@stats.command('rules')
|
||||
@click.option('--year', type=int, help='Rule statistics for specific year')
|
||||
@click.option('--method', type=click.Choice(['template', 'llm', 'hybrid']), help='Filter by generation method')
|
||||
@pass_config
|
||||
def stats_rules(config, year, method):
|
||||
"""Generate rule generation statistics"""
|
||||
cmd = StatsCommands(config)
|
||||
asyncio.run(cmd.rule_stats(year, method))
|
||||
|
||||
# Export commands
|
||||
@cli.group()
|
||||
@pass_config
|
||||
def export(config):
|
||||
"""Export rules in various formats"""
|
||||
pass
|
||||
|
||||
@export.command('sigma')
|
||||
@click.argument('output_dir', type=click.Path())
|
||||
@click.option('--year', type=int, help='Export rules for specific year')
|
||||
@click.option('--format', type=click.Choice(['yaml', 'json']), default='yaml', help='Output format')
|
||||
@click.option('--method', type=click.Choice(['template', 'llm', 'hybrid']), help='Filter by generation method')
|
||||
@pass_config
|
||||
def export_sigma(config, output_dir, year, format, method):
|
||||
"""Export SIGMA rules to a directory"""
|
||||
cmd = ExportCommands(config)
|
||||
asyncio.run(cmd.export_sigma_rules(output_dir, year, format, method))
|
||||
|
||||
@export.command('metadata')
|
||||
@click.argument('output_file', type=click.Path())
|
||||
@click.option('--year', type=int, help='Export metadata for specific year')
|
||||
@click.option('--format', type=click.Choice(['json', 'csv']), default='json', help='Output format')
|
||||
@pass_config
|
||||
def export_metadata(config, output_file, year, format):
|
||||
"""Export CVE metadata"""
|
||||
cmd = ExportCommands(config)
|
||||
asyncio.run(cmd.export_metadata(output_file, year, format))
|
||||
|
||||
# Migration commands (for transitioning from web app)
|
||||
@cli.group()
|
||||
@pass_config
|
||||
def migrate(config):
|
||||
"""Migration utilities for transitioning from web application"""
|
||||
pass
|
||||
|
||||
@migrate.command('from-database')
|
||||
@click.option('--database-url', help='Database URL to migrate from')
|
||||
@click.option('--batch-size', '-b', default=100, help='Batch size for migration')
|
||||
@click.option('--dry-run', is_flag=True, help='Show what would be migrated without doing it')
|
||||
@pass_config
|
||||
def migrate_from_database(config, database_url, batch_size, dry_run):
|
||||
"""Migrate data from existing database to file structure"""
|
||||
cmd = MigrateCommands(config)
|
||||
asyncio.run(cmd.migrate_from_database(database_url, batch_size, dry_run))
|
||||
|
||||
@migrate.command('validate')
|
||||
@click.option('--year', type=int, help='Validate specific year')
|
||||
@pass_config
|
||||
def migrate_validate(config, year):
|
||||
"""Validate migrated data integrity"""
|
||||
cmd = MigrateCommands(config)
|
||||
asyncio.run(cmd.validate_migration(year))
|
||||
|
||||
# Utility commands
|
||||
@cli.command()
|
||||
@pass_config
|
||||
def version(config):
|
||||
"""Show version information"""
|
||||
click.echo("SIGMA CLI v1.0.0")
|
||||
click.echo("CVE-SIGMA Auto Generator - File-based Edition")
|
||||
|
||||
@cli.command()
|
||||
@pass_config
|
||||
def config_init(config):
|
||||
"""Initialize CLI configuration"""
|
||||
config_data = {
|
||||
'base_dir': str(config.base_dir),
|
||||
'api_keys': {
|
||||
'nvd_api_key': '',
|
||||
'github_token': '',
|
||||
'openai_api_key': '',
|
||||
'anthropic_api_key': ''
|
||||
},
|
||||
'llm_settings': {
|
||||
'default_provider': 'ollama',
|
||||
'default_model': 'llama3.2',
|
||||
'ollama_base_url': 'http://localhost:11434'
|
||||
},
|
||||
'processing': {
|
||||
'default_batch_size': 50,
|
||||
'default_methods': ['template']
|
||||
}
|
||||
}
|
||||
|
||||
config.config_file.parent.mkdir(exist_ok=True)
|
||||
with open(config.config_file, 'w') as f:
|
||||
import yaml
|
||||
yaml.dump(config_data, f, default_flow_style=False)
|
||||
|
||||
click.echo(f"Configuration initialized at {config.config_file}")
|
||||
click.echo("Please edit the configuration file to add your API keys and preferences.")
|
||||
|
||||
if __name__ == '__main__':
|
||||
cli()
|
||||
Loading…
Add table
Reference in a new issue