ransomwatch - ransomwatch is a Python based tool designed for ra

项目说明

ransomwatch - Ransomware Intelligence Tool

A Python tool for ransomware threat intelligence and security research.

!Python
!PyPI
!License

Legal Notice & Ethical Use

For legitimate security research and threat intelligence only. All data is sourced exclusively API queries to ransomware.live -- no direct interaction with ransomware infrastructure.

This tool must not be used for:

By using this tool, you agree to comply with all applicable laws in your jurisdiction.

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Quick Start

Get your API token from ransomware.live.

Commands

| Command | Description | Example |
|---------|-------------|---------|
| groups | List acti groups with risk levels | ransomwatch groups |
| recent | Show recent ransomware incidents | ransomwatch recent -l 20 |
| info | Get detailed threat actor intelligence | ransomwatch info --group akira |
| stats | Show threat landscape statistics | ransomwatch stats |
| | API key | ransomwatch |
| sectors | List industry sectors impacted | ransomwatch sectors |
| csirt | Get CSIRT/CERT contacts by country | ransomwatch csirt --country US |
| | List ransomware with filters | ransomwatch --country US |
| iocs | Show indicators of compromise | ransomwatch iocs --group Akira |
| yara | Show YARA detection rules | ransomwatch yara --group Akira |
| 8k | Show SEC 8-K cybersecurity filings | ransomwatch 8k --year 2025 |

All commands support --json for machine-readable output and -- for debug logging. See ransomwatch --help for all options.

Installation

Requirements

License

MIT License - see LICENSE file for details.

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Data source: ransomware.live

项目信息

开发语言：Python

Star 数：5

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕ransomwatch is a Python based tool designed for ransomware threat intelligence and security research.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。