Wraith
AI-powered offensive security platform
Overview
AI-powered platform for learning penetration testing and bug bounty hunting. Combines adaptive learning, workflow automation, local uncensored LLMs, and real-world vulnerability scenarios.
Architecture
Python-based platform that orchestrates security tools (nmap, metasploit, burp) through a unified pipeline. A local LLM provides contextual guidance, explaining vulnerabilities and suggesting exploitation paths. The adaptive learning engine tracks user progress and adjusts difficulty based on demonstrated skill level.
The Story
Security training tools are either expensive, outdated, or both. Wraith was designed to be the opposite — free, current, and adaptive. The LLM integration was the key insight: instead of static tutorials, an AI mentor that adjusts to your skill level and explains vulnerabilities in context as you encounter them.
Technology
Links
Features
- Adaptive learning paths for penetration testing
- Bug bounty simulation with real vulnerability patterns
- Local uncensored LLM integration for security reasoning
- Workflow automation for recon and exploitation phases
- Progress tracking and skill assessment
Highlights
- Combines offensive security with AI mentorship
- Runs entirely locally for safe practice