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ASCIT31/Dark-Moon

Offensive & Pentesting

An open‑source AI‑powered autonomous penetration testing platform that orchestrates complete security assessments using specialized agents.

Python Latest v1.2.0 · 18d ago Security brief →

Features

  • AI‑driven autonomous agents perform full end‑to‑end vulnerability scans without manual intervention
  • Controlled execution layer (MCP) ensures the LLM never sees raw sensitive data; tokenization and local injection keep all secrets on‑premises
  • Supports 50+ integrated penetration testing tools (Nuclei, NetExec, BloodHound, sqlmap, Naabu, httpx, ffuf, etc.) across web, AD, Kubernetes, network, CMS domains
  • Generates structured, evidence‑based audit reports automatically after each assessment

Recent releases

View all 3 releases →
Review required
v1.2.0 New feature
Auth Dependencies

Tokenization, validation, Pro edition

No immediate action
v1.1.0 Mixed

Authoritative persistence + anti-false-positive

No immediate action
v1.0.0 New feature

Darkmoon first release

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About

Stars
742
Forks
127
Languages
Python TypeScript Shell

Install & Platforms

Install via
docker shell-script
Platforms
linux macos windows arm64

Beta — feedback welcome: [email protected]