病毒分析
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<img width="300" height="auto" src="web_frontend/src/logo-white.png" alt="LiSa" />
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Project pro automated Linux malware analysis on CPU architectures.
Table of contents
!LiSa
Requirements
1. Get repository.
2. Build.
3. Run the sandbox (default location: ).
Sign up to get your API key. Use API key in docker-compose.yml build args section.
Setup your server's IP:port in nginx service in docker-compose.yml.
Workers are scalable.
You can route malware's traffic through OpenVPN. In order to do that:
1. Mount containing Open (named config.ovpn).
2. Set en VPN to Open's directory path.
Default used blacklists are (source):
If you want to use any other blacklist, put .ipset or .netset files into data/blacklists. All of these blacklists are merged during build of worker service.
Core of LiSa project supports 4 basic modules of analysis: static_analysis, dynamic_analysis, network_analysis and .
Sub-analysis modules are plugin-based. For adding new sub-analysis and appending it's output to final json do following:
1. Create class which inherits from AbstractSubAnalyzer class and implement run_analysis() method eg.:
2. Update list in lisa.config.py :
1. YARA module - YARA module to match patterns in LiSa's JSON output.
2. Images selection - More Linux images containing e.g. IoT firmware.
Contributions | feedback | issues | pull requests are welcome.
LiSa is licensed under Apache License 2.0.
开发语言:Python
Star 数:487
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Sandbox for automated Linux malware analysis.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。
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。
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。
| 资源标题 | lisa - Sandbox for automated Linux malware analysis. |
| 所属分类 | 病毒分析 |
| 发布作者 | admin |
| 发布时间 | 2026-10-05 23:18:44 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 347 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |