AutoVAPT-AI-Based-Vulnerability-Scanner-Pentest-Tool - AutoVAPT is an open-source GUI tool for automated

项目说明

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<img src="assets\AutoVAPT.gif" alt="AutoVAPT" width="600"/>
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<h1 align="center">🤖 AutoVAPT</h1>
<h3 align="center">AI-Powered Automated Assessment & Penetration Testing Tool</h3>

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<a href="#"><img alt="PyQt6" src="
<a href="#"><img alt="Orca Mini" src="
<a href=" alt="ZAP Integration" src="
<a href=" alt="Python" src="
<a href=" alt="License" src="
<a href="#"><img alt="Platform" src="
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> ⚠️ Security Notice: This tool is intended for authorized security testing only. Do NOT use on systems without permission.

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🚀 Features

🛡️ Assessment

⚔️ Penetration Testing

🤖 AI-Powered Insights

💬 Built-in Cyber Assistant

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⚙️ Requirements

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📦 Installation

🔧 Update .env with:

* ZAP API Key
* Paths to tools
* AI model location

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💻 Usage

From the GUI:

* Enter target URL
* Choose assessment type
* Start scan
* View results
* Export reports (PDFs generated natively in Python)

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📁 Output Files

| File | Description |
| ---------------------- | --------------------------------- |
| .json | scan results |
| pentest_results.json | PT logs and tool outputs |
| *.pdf | Professional PDF report (nati) |

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🧩 Configuration

Edit the .env file for:

* API keys
* Output paths
* Model parameters
* Tool binaries

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🖼️ Screenshots in Reports

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👥 Contributing

We welcome all contributors and testers:

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📜 License

Licensed under the MIT License.

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🙌 Acknowledgments

* OWASP ZAP
* ProjectDiscovery
* Open-source security community
* PyQt6, Orca Mini AI, ZAP API

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> 🛡 Built by hackers, for ethical hackers.

项目信息

开发语言：Lua

Star 数：7

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕AutoVAPT is an open-source GUI tool for automated Vulnerability Assessment and Penetration Testing. It integrates OWASP ZAP, CVE/CVSS enrichment, AI-based analysis, and custom recon tools—built for cybersecurity professionals, bug bounty hunters, and researchers and built during my internship at Gurgaon Police Cyber Security Summer Internship 2025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。