Updated 6 months ago

windows-dll-injector • Rank 4.9 • Science 44%

💉 A Windows dynamic-link library injection tool written in C++20. It can inject a dynamic-link library into a running process by its window title or create a new process with an injection.(使用C++20开发的Windows动态链接库注入工具,可以通过窗口标题注入运行中的进程,或在创建新进程时注入。)

Updated 5 months ago

https://github.com/byt3n33dl3/jester • Rank 2.9 • Science 23%

Worm roulette, a Miscellaneous tools for Gambllers. Don't do it guys

Updated 6 months ago

malgraphiq • Science 39%

Transform your malware sandbox reports and execution traces into behavior and category graphs and plot their Windows Behavior Catalog (WBC) behavior identification.

Updated 5 months ago

https://github.com/czs108/microsoft-malware-classification • Science 10%

🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Windows PE structures, disassembly scripts and machine code.

Updated 6 months ago

goasm-rat • Science 44%

💻 A Windows console remote administration tool written in Go & Intel x86 Assembly. It supports remote shell and screenshot.(使用Go和Intel x86汇编开发的Windows终端远程管理工具,支持远程Shell和屏幕截图。)

Updated 5 months ago

https://github.com/alfa-group/adv-malware-viz • Science 10%

"On Visual Hallmarks of Robustness to Adversarial Malware" by Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly

Updated 5 months ago

https://github.com/csvl/sema • Science 26%

SEMA is based on angr, a symbolic execution engine used to extract API calls. Especially, we extend ANGR with strategies to create representative signatures based on System Call Dependency graph (SCDG). Those SCDGs can be exploited in machine learning modules to do classification/detection.

Updated 6 months ago

cape-hook-generator • Science 44%

CAPEv2 (capemon) hook skeleton generator (hookdefs) for your malware analysis needs.

Updated 5 months ago

https://github.com/alfa-group/robust-adv-malware-detection • Science 10%

[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly

Updated 5 months ago

https://github.com/byt3n33dl3/azureecx • Science 13%

ECX and eMLR Malware research, Studying mydoom Malware EXECUTION

Updated 5 months ago

https://github.com/byt3n33dl3/thefatrat_v2 • Science 23%

TFRv2 for RCe, dynamic bypass and PenTesting for anti-virus. Collections of payloads for Android, Windows, and macOS.