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A collection of techniques commonly used in malware to accomplish core tasks.

License: MIT License

C 35.61% Python 41.92% CMake 1.08% Objective-C 15.68% Shell 5.70%

malware-techniques's Introduction


This collection of programs demonstrates techniques used in malware to accomplish core tasks.

It's like Al-Khaser, except focused on macOS and Linux.

Catalog

  • Anti-Autoanalysis
  • Anti-Reverse Engineering
  • Anti-VM
  • Data-Collection
  • Persistence

Implementation

These programs are written in a mix of languages. Currently, the library uses (in order of strlen(language_name)):

  • C
  • x86
  • Bash
  • Python
  • Objective-C

Building and Running

Each program is meant to be run independently. There is no main.{c,py,m,asm}.

Typically, each program (written in C) can be compiled with $ gcc FILE -o OUTPUT_FILE.

Exceptions to this are:

  • src/anti-vm/cross-platform/vmware_detect_with_asm.c, which uses cmake for compilation. Instructions can be found in src/anti-vm/cross-platform/README.md.
  • src/anti-autoanalysis/macOS/detectUserActivity, which uses clang for compilation. Instructions can be found in src/anti-autoanalysis/macOS/detectUserActivity/README.md

Motivation

You can read about the motivation behind this project in this presentation I gave.

Acknowledgements

Thank you to all the security researchers that made this project possible. Material published by the following researchers was particularly helpful while I was building this library:

malware-techniques's People

Contributors

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