Bug-Bounty-Arsenal-v.3 - 60+ detectors for web, plus mobile apps and smart

项目说明

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<img src=" alt="BugBounty Arsenal" width="640">
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<h1 align="center">BugBounty Arsenal</h1>

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<b>A free, full-stack security scanning platform for bug bounty hunters and security teams.</b><br>
Web · Mobile · Web3 — with confirmed findings, OWASP mapping and AI fix guidance.
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<a href="LICENSE"><img alt="License: MIT" src="
<img alt="Backend: Django" src="
<img alt="Frontend: React 18" src="
<img alt="Workers: Celery" src="
<img alt="Runtime: Docker" src="
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<b>▶ Live app: <a href=" — free, no credit card.</b>
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Why it's different

Most scanners drown you in false positives and run once. BugBounty Arsenal does the opposite:

Co — three platforms

| | |
|---|---|
| 🌐 Web | 60+ detectors: recon, XSS / SQLi / SSRF / XXE / SSTI / RCE, LFI/RFI, CSRF, IDOR, JWT / OAuth / GraphQL, C, WordPress, nuclei, and more. |
| 📱 Mobile | Android APK & iOS IPA static analysis — hardcoded secrets, weak crypto, cert-pinning gaps, dangerous permissions. |
| 🔗 Web3 | Solidity static analysis (28 classes) — reentrancy, access control, unchecked calls, tx.origin, integer o. Paste, upload .sol/.zip, or scan a contract by address. Each finding ships a PoC + SWC/CWE mapping. |

Highlights

What's new

Stack

Quick start

App URLs:

Local de

Backend

Frontend

Repository layout

Safety

Use this project only against systems you own or are explicitly authorized to test. Every scan records a consent declaration; unauthorized scanning is illegal.

License

Released under the MIT License.

项目信息

开发语言：Python

Star 数：13

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60+ detectors for web, plus mobile apps and smart contracts. Every finding is mapped to the OWASP Top 10, marked Confirmed when we have proof, and comes with AI fix guidance — plus scheduled scans, the Red vs Blue Arena, branded PDF reports and CI/CD gating. Free, open-source and self-hostable.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。