Back to List
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
PythonASCIT31/Dark-Moon

Dark-Moon

Autonomous AI pentesting engine performing continuous offensive security across web, cloud, AD and Kubernetes. Uses agentic reasoning, real exploit execution and attack path analysis to deliver proof-based vulnerabilities.

78.4/100
603Forks: 106
View on GitHubHomepage →
Loading report...

Similar Projects

LuaN1aoAgent

54

LuaN1aoAgent is a cognitive-driven AI hacker. It is a fully autonomous AI penetration testing agent, using dual-graph reasoning.

Python1.1K

Anthropic-Cybersecurity-Skills

86

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0

Python23.5K

edict

74

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

Python16.1K

cai

78

Cybersecurity AI (CAI), the framework for AI Security

Python9.3K
Back to List