This project is an intentionally API-based Python application that uses Flask, Jinja, and SQLite3. It has been deliberately designed with multiple , including XSS (Cross-Site Scripting), SQLi (SQL Injection), HHI (HTTP Header Injection), LFI (Local File Inclusion), RFI (Remote File Inclusion), and SSTI (Ser Template Injection). The purpose of this project is to provide a playground for educational purposes and to test and understand automated API scanners and security testing tools.
Disclaimer: This project should only be used in a controlled en and for educational purposes. Do not deploy it in a production en or expose it to the public as it can be used to exploit and damage systems if not handled responsibly.
The application contains the following :
1. Cross-Site Scripting (XSS)
The application is susceptible to Cross-Site Scripting attacks. These occur when un user inputs are rendered directly in the HTML page, allowing malicious scripts to be executed in the context of the website.
2. SQL Injection (SQLi)
The application is to SQL Injection attacks. SQLi occurs when user-supplied data is not properly sanitized or , allowing an attacker to execute arbitrary SQL commands on the database.
3. HOST Header Injection (HHI)
The application is to HOST Header Injection attacks. This allows an attacker to inject malicious HOST headers, potentially leading to security issues like cache poisoning or cross-site scripting.
4. Local File Inclusion (LFI)
The application is susceptible to Local File Inclusion attacks. This allows an attacker to include and execute local files on the server, potentially exposing sensiti or executing arbitrary code.
5. Remote File Inclusion (RFI)
The application is to Remote File Inclusion attacks. RFI occurs when user-supplied input is used to include remote files from external servers, leading to potential code execution and unauthorized access.
6. Ser Template Injection (SSTI)
The application is prone to Ser Template Injection attacks. SSTI occurs when user input is used directly in ser templates, potentially leading to code execution on the server.
If you would like to contribute to this project by adding more , improving existing ones, or enhancing the o codebase, you are welcome to submit a pull request. Please follow the guidelines and ensure that the added are safe and for educational purposes only.
This project is for educational purposes only. Do not use it for any malicious intent. The authors and contributors of this project are not responsible for any misuse or damage caused by this software.
Use this project responsibly and only in controlled en. Do not deploy it in a production en or expose it to the public. Stay ethical and abide by the law.
License
This project is licensed under the MIT License.
This README provides an o of the API Python application. Remember that the primary goal of this project is educational, and users should exercise caution when running and testing it. Make sure to use this responsibly and only in en you ha to test and e. Happy learning and happy testing!
开发语言:Python
Star 数:9
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The Vulnerable API Python Application is a purposely flawed Python app that uses Flask, Jinja, and SQLite3. It contains intentional security vulnerabilities like XSS, SQLi, HHI, LFI, RFI, and SSTI. The project aims to serve as an educational tool to learn about and test automated API scanners. Use responsibly in controlled environments only.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。
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。
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。
| 资源标题 | Vulnerable-API - The Vulnerable API Python Application is a purpose |
| 所属分类 | 安全软件 |
| 发布作者 | admin |
| 发布时间 | 2026-10-05 23:03:37 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 103 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |