病毒分析
点击放大

![GitHub]()
!PyPI - Status
![GitHub release (latest by date)]()
![PyPI]()
![PyPI - Python ]()
![Documentation Status]()
<pre>
███████╗██╗██████╗ ██╗
██╔════╝██║██╔══██╗██║
█████╗ ██║██║ ██║██║
██╔══╝ ██║██║ ██║██║
██║ ██║██████╔╝███████╗
╚═╝ ╚═╝╚═════╝ ╚══════╝
</pre>
_FIDLing with the decompiler API_
This is a set of utilities wrapping the decompiler API into something sane. This code focus on research and bug hunting, however most of the functionality is generic enough to be used for broader reverse engineering purposes.
The recommended way to install this is to use python's pip. Keep in mind that you have to use the pip corresponding to the Python installation IDA is using.
In case you have more than one installation (for example 32 and 64 bits), you can find which one IDA uses by typing this into the console:
cd to the directory containing setup.py
__Release mode:__ pip install .
__De (editable) mode:__ pip install -e .[dev]
In _de mode_, pip will install pytest and some linters helpful while de, as well as creating symbolic links under python's packages directory instead of copying FIDL to it. This allows you to modify your .py files and test on the fly, without needing to reinstall every time you make a change :)
You can find up to date documentation online here
The source distribution has built-in documentation here
开发语言:Python
Star 数:464
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A sane API for IDA Pro's decompiler. Useful for malware RE and vulnerability 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。
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 | FIDL - A sane API for IDA Pro's decompiler. Useful for ma |
| 所属分类 | 病毒分析 |
| 发布作者 | admin |
| 发布时间 | 2026-10-05 23:19:11 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 335 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |