1bbea9bf6728722d07bb1b9885bcdaafdfabf000
Baffle Hub
Rails 8 WAF analytics and automated rule management system ⚠️ Experimental
Baffle Hub provides intelligent Web Application Firewall (WAF) analytics with automated rule generation. It combines real-time threat detection with PostgreSQL-based database for ultra-fast request filtering.
Features
- Real-time Analytics - Process WAF events and detect attack patterns
- Automated Rule Generation - Create rules automatically from threat intelligence
- Fast Local Storage - SQLite for sub-millisecond request evaluation
- Forward Auth Integration - Compatible with Caddy, Traefik, and NGINX
- Docker Ready - Containerized deployment with Kamal
Status
✅ Complete
- Event ingestion API with DSN authentication
- Comprehensive data normalization (hosts, paths, IPs)
- Basic analytics dashboard
- Background job processing system
- Docker deployment setup
🚧 In Progress
- Rule management framework
- IP range blocking rules
- Country-based blocking (via IP ranges)
- Forward auth endpoint implementation
📋 TODO
- Advanced pattern analysis and threat detection
- Automatic rule generation algorithms
- Rate limiting engine
- Challenge/redirect mechanisms
- Unix socket support for ultra-low latency
- Multi-node rule synchronization
- Advanced analytics visualizations
- Real-time rule updates
Quick Start
Prerequisites
- Ruby 3.x
- Docker (optional)
Installation
# Clone the repository
git clone <repository-url>
cd baffle-hub
# Install dependencies
bundle install
# Copy environment files
cp .env.example .env
# Setup database
rails db:create db:migrate
# Start the server
rails server
With Docker
# Build and run
docker-compose up -d
Architecture
Request → Reverse Proxy → Baffle (SQLite check) → Decision
↓
Async analytics processing
↓
Pattern detection → New rules
Configuration
Key environment variables:
DATABASE_URL- PostgreSQL connection stringRAILS_ENV- Environment (development/production)SECRET_KEY_BASE- Rails secret key
API Endpoints
POST /api/:project_id/events- Ingest WAF eventsGET /projects/:id- View project analyticsGET /dashboard- Analytics dashboard
Deployment
Deploy with Kamal:
# Setup deployment
kamal setup
# Deploy to production
kamal deploy
Development
# Run tests
rails test
# Run background jobs
rails jobs:work
# View analytics
rails console
License
MIT License - see LICENSE file for details.
Description
Languages
Ruby
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HTML
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JavaScript
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CSS
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