RTA - Red team Arsenal - An intelligent scanner to detec

项目说明

Red Team Arsenal  ![Tweet]()%20-%20An%20intelligent%20scanner%20to%20detect%20security%20%20in%20company%27s%20layer%207%20assets&url=)

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Red Team Arsenal is a inhouse framework created by flipkart security team which monitors the external attack surface of the company's online assets and provide an holistic security view of any security anomalies. It's a closely linked collection of security engines and tools to conduct/simulate attacks and monitor public facing assets for anomalies and leaks.

It's an intelligent framework that detects security anomalies in all layer 7 assets and reports the same.

As companies continue to expand their footprint on INTERNET acquisitions and geographical expansions, human dri engineering is not scalable, hence, companies need feedback dri systems to stay put.

Installation

Supported Platforms

RTA has been tested both on Ubuntu/Debian (apt-get based distros) distros, it will also work with Mac-OS (but do replace the binaries folder with the binaries of the programs that match with your system architecture if you are running it on Mac OS)

Prerequisites:

There are a few packages which are necessary before proceeding with the installation:

* Python 3.8, which is installed by default in most systems
* Python pip: sudo apt-get install python3-pip

Also, you will need to update the config file and config_mail yml files with the following data

* Google Chat Webhook URL
* SMTP Credentials
* Github Token
* Mailing List
* Custom Search Engine (API Key)

You can install all the requirements by running `sudo pip3 install -r requirements.txt`

Usage

Mention the domains you want to monitor inside 'input_files/domains.txt'

Configuring Google Chat:

You can recei in Google Chat, this can be configured by adding the webhook URL to config.yml file.

Contributors

References

Thanks to the authors of the below creations.

项目信息

开发语言：Python

Star 数：415

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Red team Arsenal - An intelligent scanner to detect security vulnerabilities in company's layer 7 assets.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。