Autonomous AI-Powered Penetration Testing Agent
ORHUS is an industry-grade, red-teaming agent designed to automate the strategic phases of a penetration test within authorized lab environments. It combines high-fidelity reconnaissance with an advanced AI decision engine to simulate the logic and tactics of an expert security consultant.
- Phase 1: Reconnaissance — High-fidelity service and version mapping using Nmap.
- Phase 2: Vulnerabilities — Automated CVE matching and CVSS scoring.
- Phase 3: Exploitation — Metasploit integration and AI-guided custom exploit logic.
- Phase 4: Reporting — Automated, high-fidelity HTML/PDF reports (Powered by VOIDSEC Labs).
- Phase 5: Memory — Persistent session tracking and cross-target intelligent learning.
| Feature | Description |
|---|---|
| Orchestrator | Central autonomous loop managing the test flow. |
| Brain | Multi-AI Decision Engine (Gemini & Grok). |
| Memory | Global intelligence database for successful exploit patterns. |
| Safe Mode | Hard-coded RFC 1918 and platform-specific IP restrictions. |
git clone https://github.com/krithick-rk/ORHUS.git
cd ORHUS
sudo ./setup/install.sh
cp .env.example .env
# Add your API keys to .env
python3 main.pygit clone https://github.com/VOIDSEC-LABS/ORHUS.git
cd ORHUS
setup\install_windows.bat
copy .env.example .env
# Add your API keys to .env
python main.pyORHUS is for authorized security testing only. Unauthorized use against systems without explicit written permission is illegal and strictly prohibited.
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