APTMalware - APT Malware Dataset Containing over 3,500 State-Sp

项目说明

APT Malware Dataset

This dataset contains over 3,500 malware samples that are related to 12 APT groups which alledgedly are sponsored by 5 different nation-states. This dataset was used for benchmarking different Machine Learning approaches performing authorship attribution. This dataset can be used for future benchmarks or malware research.

Data Characteristics

The samples in the dataset are distributed as follows:

Country | APT Group | Family | Requested | Downloaded
--- | --- | --- | ---: | ---:
China | APT 1 | | 1007 | 405
China | APT 10 | i.a. PlugX | 300 | 244
China | APT 19 | Derusbi | 33 | 32
China | APT 21 | TravNet | 118 | 106
Russia | APT 28 | *Bears* | 230 | 214
Russia | APT 29 | *Dukes* | 281 | 281
China | APT 30 | | 164 | 164
North-Korea | DarkHotel | DarkHotel | 298 | 273
Russia | Energetic Bear | Havex | 132 | 132
USA | Equation Group | Fannyworm | 395 | 395
Pakistan | Gorgon Group | Different RATs | 1085 | 961
China | Winnti | | 406 | 387
Total ||| 4449 | 3594

Remarks

All samples are named according to their SHA-256 hash and grouped by APT group. Samples are put in separate password-protected compressed folders (.zip). The password for all files is infected.

Source

The malware samples are collected using open source threat intelligence reports from multiple . Many threat intelligence reports were collected and a list of all filehashes used as indicators of compromise (IoC) has been collected. These hashes were used to obtain the malware samples from .

The file o.csv contains an o of all malware samples and the reports in which their hash-value has been found.

Code Used for Authorship Attribution

The source code of the experiments performed for benchmarking authorship attribution performance can be found at GitHub: APT Attribution Code.

License

Open Database License

This APT Malware Dataset is made a under Open Database License whose full text can be found at Any rights in indi contents of the database are licensed under the Database Contents License whose text can be found

项目信息

开发语言：未知

Star 数：382

技术要点

该项目属于病毒分析方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕APT Malware Dataset Containing over 3,500 State-Sponsored Malware Samples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。