discovered 16 Aug 2026
HEAVEN-Autonomous-Penetration-Testing
→ View on GitHubHEAVEN is an autonomous penetration-testing framework designed to streamline and automate various stages of the penetration testing process, including reconnaissance, vulnerability detection, exploitation, risk scoring via machine learning, and reporting. It features a robust interface with 55 CLI commands, 77 API routes, and multiple scan modes, facilitating comprehensive assessments while allowing users to focus on critical decision-making tasks. Notably, it incorporates a CVSS machine learning predictor with a high correlation score, ensuring accurate risk evaluation.