masai - Defensive-First AI-Powered Penetration Testing Pla

项目说明

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🛡️ M.A.S. AI

Multi-agent Adaptive Security

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<strong>Defensi AI-Powered Penetration Testing Platform</strong>
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<a href="#features">Features</a> •
<a href="#demo">Demo</a> •
<a href="#quick-start">Quick Start</a> •
<a href="#architecture">Architecture</a> •
<a href="#api-reference">API</a> •
<a href="#contributing">Contributing</a>
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<img src=" alt="TypeScript"/>
<img src=" alt="Next.js"/>
<img src=" alt="Node.js"/>
<img src=" alt="MongoDB"/>
<img src=" alt="Socket.io"/>
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<img src=" alt="AI Agents"/>
<img src=" alt="Scanners"/>
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<img src=" alt="OWASP"/>
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📖 O

M.A.S. AI is an enterprise-grade, defensi AI penetration testing platform that le multiple specialized AI agents to perform comprehensi assessments. Unlike traditional scanners, M.A.S. AI uses adapti to understand application context and disco .

🎯 Why M.A.S. AI?

| Traditional Scanners | M.A.S. AI |
|---------------------|-----------|
| Rule-based detection | AI-powered reasoning |
| High false positives | Context-aware |
| Surface-le | Deep business logic analysis |
| Manual configuration | Adapti |
| Single methodology | 7 specialized AI agents |

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✨ Features

🤖 7 Specialized AI Agents

| Agent | Purpose |
|-------|---------|
| RECON | Reconnaissance and asset discovery |
| THREAT_MODEL | Threat modeling and risk assessment |
| | reasoning and analysis |
| EXPLOIT_SIM | Exploit simulation and |
| BIZ_LOGIC | Business logic detection |
| DEFENSE | Defense strategy recommendations |
| FUTURE_THREAT | Emerging threat prediction |

🔍 10 Security Scanners

🎮 Platform Features

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🚀 Quick Start

Prerequisites

Installation

En

Create a .env file in the root directory:

Running the Application

Access the Application

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🏗️ Architecture

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📁 Project Structure

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🔐 Security Features

Authorization Flow

1. User requests scan → Enters target domain
2. Domain owner notified → Recei email
3. Owner appro → Clicks email link
4. Admin reviews → Final approval (or bypass)
5. Scan authorized → User can now scan

Kill Switch

Emergency stop button that immediately terminates all scanning activity with a single click.

Audit Logging

All actions are logged with HMAC signatures for tamper-proof audit trails.

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📊 API Reference

Authentication

Scans

Reports

Admin

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🤝 Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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👨‍💻 Author

Mridul Singhal

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⭐ Star this repo if you find it useful!

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Built with ❤️ for the security community

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项目信息

开发语言：TypeScript

Star 数：1

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Defensive-First AI-Powered Penetration Testing Platform. Enterprise-grade security scanner with 10+ specialized agents for comprehensive vulnerability assessment.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。