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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
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AI‑driven autonomous agents perform full end‑to‑end vulnerability scans without manual intervention
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Controlled execution layer (MCP) ensures the LLM never sees raw sensitive data; tokenization and local injection keep all secrets on‑premises
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Supports 50+ integrated penetration testing tools (Nuclei, NetExec, BloodHound, sqlmap, Naabu, httpx, ffuf, etc.) across web, AD, Kubernetes, network, CMS domains
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Generates structured, evidence‑based audit reports automatically after each assessment
Review required
v1.2.0
New feature
·
Auth
Dependencies
Tokenization, validation, Pro edition
No immediate action
v1.1.0
Mixed
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Authoritative persistence + anti-false-positive
No immediate action
v1.0.0
New feature
·
Darkmoon first release
Weekly OSS security release digest.
The CVE patches and breaking changes that affected production tools this week. One email, every Sunday.
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About
Languages
Python
·
TypeScript
·
Shell
View on GitHub
Documentation
Install & Platforms
Install via
docker
shell-script
Platforms
linux
macos
windows
arm64
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