ashirt-server - Adversary Simulators High-Fidelity Intelligence an

项目说明

ASHIRT

Ad Simulators High-Fidelity Intelligence and Reporting Toolkit. This repo contains only the server side and frontend code for ASHIRT. You can find the ASHIRT client here and aterm here.

Table of Contents

Background

Documenting and reporting is a key part of our jobs and generally the part we all look forward to the least. Compared to the rest of the work we do it's not the most fun and by the time we get around to it, it's not always clear exactly what happened or we don't have the e to prove it. Teams generally solve this with ad hoc solutions for note taking, recording and sharing screenshots, and collecting other e but these solutions rarely scale, are not always easily shared, and typically require manual steps to manage. Having to dig through a pile of e after an operation to find the one screenshot you need, if you even have it, can be cumbersome especially as e starts to span multiple operators and computers. ASHIRT attempts to solve this by serving as a non-intrusi when possible, way to capture, index, and provide search over a centralized synchronization point of high fidelity data from all your e sources during an operation. You can learn more in our 2020 presentation linked below.

![2020 presentation]()

Install

Detailed instructions for building and installation are a for the frontend and backend.

Configuration

All configuration options for the backend are described here. These cover the components and configuration options necessary for deployment and outlines how the components interact.

Contribute

Please refer to the contributing.md file for information about how to get in. We welcome issues, questions, and pull requests.

Maintainers

License

This project is licensed under the terms of the MIT open source license. Please refer to LICENSE for the full terms.

项目信息

开发语言：Go

Star 数：171

技术要点

该项目属于红蓝攻防方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Adversary Simulators High-Fidelity Intelligence and Reporting Toolkit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。