This encyclopedia wouldn't be possible without in assistance of the following Check Point researchers:
* Aliaksandr Trafimchuk ([][a14xt])
* Bohdan Melnykov ([@\_mbv06\_][\_mbv06\_])
Compiled encyclopedia resides here:
As malicious threats evolve, the necessity in automated solutions to analyze such threats emerges. It's a very common case when malware samples are executed in some kind of en.
These en differ from usual host systems by a huge amount of artifacts: non-common files, registry keys, system objects, etc. By examining such artifacts malware samples are able to say if they are run in a en. Depending on the answer to this question, malware will continue its usual execution thus giving the researchers an opportunity to monitor its behavior - or will beha in an unexpected way and reveal nothing about its behavior.
If the latter was the case, we say that malware has successfully applied e technique, or simply e.
In this encyclopedia we ha to gather all the known ways to detect en grouping them into big categories. Some categories are inactive on main page: it means that content will be added later.
Within each category the reader will find the following information:
* description of the technique
* code sample showing its usage
* signature recommendations to track attempts to apply this technique
* table with breakdown of which particular en are detected with the help of certain constants
* possible countermeasures
A lot of solutions with implemented techniques exist in open-source community. These solutions are used throughout the encyclopedia in the form of code excerpts from them. We are giving credits to open-source projects from where code sampes were taken:
* [al-khaser project][al-khaser]
* [pafish project][pafish]
* [VMDE project][vmde]
It's important to add that Check Point researchers ha their own tool called [In][in].
If you want to contribute to this encyclopedia, you're more than welcome to create pull requests here.
So check out all the repositories, browse through e encyclopedia and enjoy the journey!
[al-khaser]: <
[pafish]: <
[vmde]: <
[in]: <
Debugging is the essential part of malware analysis. Every time we need to drill down into malware behavior, restore encryption methods or examine communication protocols – generally, whenever we need to examine memory at a certain moment of time – we use debuggers.
Debuggers interfere with the debugged process in a way that usually produces side-effects. These side-effects are often used by malicious programs to if they are executed under debugging. In turn knowledge of anti-debug techniques helps us detect when the malware tries to prevent us from debugging it and mitigate the interference.
This encyclopedia contains the description of anti-debug tricks which work on the latest Windows releases with the most popular debuggers (such as OllyDbg, WinDbg, x64dbg). Deprecated techniques (e.g. for SoftICE, etc.) are not included (despite all the love to SoftICE).
Anti-Debug tricks are grouped by the way in which they trigger side-effects (“meh, yet another classification”, you might think). Each group includes the description of corresponding tricks, their implementation in C/C++ or x86/x86-64 Assembly language, and recommendations of how to mitigate the trick for de who want to create their own anti-anti-debug solution. In general, for bypassing anti-debug techniques we recommend using the [ScyllaHide][scylla_link] plugin which supports OllyDbg, x64dbg and IDA Pro.
All the techniques which are described in this encyclopedia are implemented in our [ShowStopper][showstopper_link] open-source project. The encyclopedia can help you to better understand how these techniques work or to assess debuggers and anti-anti-debug plugins.
[ferrie]: <
[falliere]: <
[jackson]: <
[apriorit]: <
[simplifire]: <
[scylla_link]: <
[showstopper_link]: <
This repository is made in the same style and format as its Windows counterparts. However, due to the specifics of the macOS platform, only e techniques are present, without anti-debug tricks. Code examples are provided for each of the included groups, along with countermeasures advice.
This repository is made in the same style and format as its Windows couterparts. However, due to the specifics of the Android platform and low number of techniques in comparison to Windows, e and anti-debug are present in one repository. Where applicable, the code examples are provided.
The author of Windows Anti-Debug repository and the corresponding "About" section:
<ul>
<li>Yaraslau Harakhavik (<i class="fa fa-twitter fa-lg" style="color:#1DA1F2"></i> <a href=")</li>
</ul>
The author of macOS E repository and the corresponding "About" section:
<ul>
<li>Alexey Bukhteyev</li>
</ul>
The author of other encyclopedia parts:
<ul>
<li>Raman Ladutska (<i class="fa fa-twitter fa-lg" style="color:#1DA1F2"></i> <a href=")</li>
</ul>
[a14xt]: <
[\_mbv06\_]: <
[DaCuriousBro]: <
开发语言:HTML
Star 数:446
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Evasions encyclopedia gathers methods used by malware to evade detection when run in virtualized environment. Methods are grouped into categories for ease of searching and understanding. Also provided are code samples, signature recommendations and countermeasures within each category for the described techniques.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 | Evasions - Evasions encyclopedia gathers methods used by malw |
| 所属分类 | 病毒分析 |
| 发布作者 | admin |
| 发布时间 | 2026-10-05 23:19:41 |
| 下载权限 | 免费下载 |
| 附件数量 | 2 个下载链接 |
| 浏览次数 | 143 |
| 讨论数量 | 0 |
| 主题状态 | 正常讨论中 |