by ethiack · MCP Server · ★ 275
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AI for Ethical Hacking This repository contains the workshop guide, educational tools and scripts for learning how AI can be applied in offensive security. 🎯 Overview The AI4EH workshop demonstrates some practical applications of AI in security, including: AI Reconnaissance - Generate contextual subdomain wordlists and automate target enumeration Intelligent Screenshot Analysis - Use neural networks and multimodal LLMs to classify web apps Smart Content Discovery - Create custom fuzzing wordlists based on application context Automated Exploit Generation - Explore nuclei AI template generation Hackbots - Play with CAI agents for vulnerability discovery MCP Integrations - Connect AI assistants to security tools like Burp Suite, Ghidra and more 🚀 Quick Start Using Docker (Recommended) Build the container: Run the environment: Or simply use the pre-built image: 🛠️ Tools & Components Core Scripts - Multimodal AI for categorizing web application screenshots - Web scr
| Stars | 275 |
| Forks | 51 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 38.4/100 |
| Last Updated | 2025-11-28 |
| Created | 2025-06-24 |
| Platforms | mcp, python |
| Est. Tokens | ~460k |
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ai4eh is AI for Ethical Hacking - Workshop. It is categorized as a MCP Server with 275 GitHub stars.
ai4eh is primarily written in Python. It covers topics such as hackbot, hacking, llm.
You can find installation instructions and usage details in the ai4eh GitHub repository at github.com/ethiack/ai4eh. The project has 275 stars and 51 forks, indicating an active community.
ai4eh is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai4eh on Agent Skills Hub include awesome-hacking-lists, agentic-radar, MakeMoneyWithAI. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.