Viper - Adversary simulation and Red teaming platform with

项目说明

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VIPER is a powerful and flexible red team platform. It integrates the core tools and functionalities required for ad simulation and red team operations, assisting you in
efficiently completing cybersecurity assessment tasks.

User-Friendly Interface

Provides an intuiti that enables red team members to rapidly initiate security assessment tasks.

Multi-Platform Support

Supports red team assessments across multiple operating systems, including Windows, Linux, and macOS, ensuring broad compatibility.

Out-of-the-Box Red Teaming Tools

Designed to cover all phases of the MITRE ATT&CK framework, offering a comprehensi simulation solution.

Integrated LLM Agent

Built-in Large Language Model (LLM) agent enhances automated processing capabilities and intelligent decision-making support.

Automated Workflows

Supports orchestration and notification mechanisms for 24/7 monitoring of target en.

Rich Built-in Modules

Integrates over 100 post-exploitation modules co all stages of the MITRE ATT&CK framework, meeting the needs of different scenarios.

Custom Extensibility

Supports Python-based custom module de to meet specialized requirements or add extended functionalities.

More Ad Features

Includes built-in anti-tracing/handler firewall/defense e/pi/automated notification functions.

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Product Comparison

| | VIPER | Cobalt Strike | NightHawk | BruteRatel |
|--------------------|-----------------------------|-------------------|-------------------|------------------|
| Implants | Windows<br/>Linux<br/>MacOS | Windows | Windows | Windows |
| UI | ✅ | ✅ | ✅ | ✅ |
| Pi | ✅ | ✅ | ✅ | ✅ |
| Custom Plugin | Python | CNA | ❌ | ❌ |
| Built-in E | ✅ | ❌ | ✅ | ✅ |
| Automation | ✅ | ❌ | ✅ | ❌ |
| Team Collaboration | ✅ | ✅ | ❌ | ❌ |
| LLM Agent | ✅ | ❌ | ❌ | ❌ |
| Price | Free | $12,600 user/year | $10,000 user/year | $3,000 user/year |

Website

www..com

项目信息

开发语言：未知

Star 数：5318

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 simulation and Red teaming platform with AI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。