⫻ 𝝣.𝗩.𝝠 ⮡ Exploit Vector Agent Autonomous offensive security AI for guiding pentest processes 𝝺 Overview EVA is an AI penetration testing agent that guides users through complete pentest engagements with AI-powered attack strategy, autonomous command generation, and real-time vulnerability analysis based on outputs. The goal is not to replace the pentest professional but to guide and assist and provide faster results. Main funcionalities 🜂 Intelligent Reasoning: Advanced AI-driven analysis and attack path identification depending on query.
| Stars | 531 |
| Forks | 117 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 65.8498594783157/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-16 |
| Created | 2025-12-15 |
| Platforms | cli, python |
| Est. Tokens | ~16k |
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EVA is EVA is an AI-assisted penetration testing agent that enhances offensive security workflows by providing structured attack guidance, contextual analysis, and multi-backend AI integration.. It is categorized as a AI 工具 with 531 GitHub stars.
EVA is primarily written in Python. It covers topics such as ai-agent, artificial-intelligence, automation.
You can find installation instructions and usage details in the EVA GitHub repository at github.com/ARCANGEL0/EVA. The project has 531 stars and 117 forks, indicating an active community.