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Releases: studiofarzulla/adversarial-security-agents

v0.1.0-alpha - Initial Public Release: Proof of Concept

09 Oct 07:30
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Adversarial Security Agents - Initial Public Release

Proof-of-concept framework for autonomous adversarial security testing.

What This Is

An autonomous red team agent that:

  • Queries a RAG knowledge base (5,395 offensive security documents)
  • Uses LLM reasoning to plan attacks
  • Executes tools autonomously (2000+ BlackArch utilities)
  • Runs isolated in Kubernetes with NetworkPolicy guarantees

Built to explore whether adversarial AI competitions could secure open-source ecosystems at scale.

Key Components

  • Autonomous agent with 5-phase attack methodology
  • MCP RAG server (GTFOBins, Atomic Red Team, HackTricks, MITRE ATT&CK)
  • Kubernetes-native deployment with kernel-level isolation
  • Complete documentation (4,000+ lines)
  • Attack scenarios mapped to MITRE ATT&CK

Model Configuration

  • Qwen2.5-Coder-14B-Instruct-abliterated-GGUF
  • LM Studio 0.3.29+
  • Optimized inference: temp=0.4, min_p=0.08, Flash Attention, Q8_0 KV cache

Status

Built in 48 hours (October 8-9, 2025). Core components functional and documented.

Live testing pending infrastructure stabilization. Blue team agent in development.

Getting Started

See README.md for complete setup instructions.

License

MIT License

⚠️ For authorized security research only. See README.md for ethical guidelines.