TL;DR
Open-source AI pentester Shannon Lite autonomously discovers and exploits vulnerabilities in web applications with proof-of-concept exploits, achieving 96.15% success on XBOW benchmark.
Key Points
- 96.15% success rate on hint-free, source-aware XBOW benchmark testing
- Discovered 20+ critical vulnerabilities in OWASP Juice Shop including auth bypass and database exfiltration
- Multi-agent architecture combines white-box source analysis with black-box dynamic exploitation across four phases
- Targets Injection, XSS, SSRF, and Broken Authentication/Authorization with zero-intervention autonomous operation
- AGPL v3 open source; ~$50 per full test run using Claude 4.5 Sonnet, 1-1.5 hours runtime
Why It Matters
Closes the critical security gap between continuous code deployment (enabled by Claude Code and Cursor) and annual penetration tests. Developers can now run on-demand whitebox pentesting with real exploit validation rather than false-positive alerts, enabling faster secure shipping without waiting for manual penetration testers.
Source: github.com