ASCIT31/Dark-Moon — Autonomous AI pentesting engine performing continuous offensive security across web, cloud, AD and K…

Description and use

ASCIT31/Dark-Moon is an open‑source autonomous AI pentesting engine that continuously probes web applications, cloud services, Active Directory, and Kubernetes environments. Leveraging agentic reasoning, real exploit execution, and attack‑path analysis, it automatically discovers and validates vulnerabilities, delivering proof‑based findings for offensive security teams. It integrates orchestration, AI/ML, and DevTools to streamline and scale continuous security testing.

Problem

ASCIT31/Dark-Moon helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

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.

Source