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cha0upupAI-driven platform for automated post-penetration management and host collaboration
Top 97.9% on SourcePulse
Summary
LeoAI is an AI-driven, post-exploitation management platform for authorized red teams and security researchers. It integrates LLM agents to automate complex tasks, providing a unified web workbench for host asset management, collaborative operations, and AI-assisted reconnaissance and exploitation, streamlining post-exploitation workflows.
How It Works
The architecture employs a Platform AI for analysis and task orchestration, delegating operations to Puppet AIs within target sessions. Puppet AIs use LangChain4j and over 100 tools for execution, progress reporting, and data accumulation. Supporting multiple LLMs (OpenAI, Tongyi Qianwen, DeepSeek, etc.) with dynamic context adaptation, it enables sophisticated AI agent interactions for automated post-exploitation.
Quick Start & Requirements
LeoAi-<version>.jar. Run java -jar --add-opens java.base/java.lang=ALL-UNNAMED LeoAi-<version>.jar. Access http://localhost:8082.docker compose up -d --build from root.admin / 54ikun (change immediately).Highlighted Details
Maintenance & Community
Hosted on GitHub with issues tracked via GitHub Issues. Contact: chaodovvn@gmail.com. No dedicated community channels or roadmap detailed.
Licensing & Compatibility
Licensed under GNU General Public License v3.0 (GPL v3). This strong copyleft license may restrict commercial use or integration with closed-source software.
Limitations & Caveats
AI functionality requires external LLM services (API keys, network access). HTTPS is recommended via a front-end reverse proxy. The project is strictly for legally authorized use, with developers disclaiming responsibility for misuse.
3 days ago
Inactive