Showing 15 of 15 projects
An open dataset and toolkit for training static PE malware machine learning models, featuring extracted features from millions of Windows executable files.
An open dataset and toolkit for training static PE malware machine learning models, featuring millions of labeled Windows executable samples.
A static analyzer for PE executables that identifies malicious indicators and aids in malware assessment.
Free Windows executable and binary data detector that identifies packers, compilers, protectors, and file formats.
A freeware reversing tool for PE files, designed for fast and flexible malware analysis.
An automatic, platform-independent unpacker for Windows binaries using emulation to analyze packed malware.
A reinforcement learning environment for training AI agents to manipulate malware samples and evade static machine learning detection.
A Python utility to search for strings, imports, exports, and debug symbols within Windows PE executables using regular expressions.
Python implementation of PEiD for detecting packers in Windows PE files using signature databases.
An open dataset for learning-based temporal analysis of PE malware, containing over 130,000 Windows PE files with feature vectors and metadata.
A tool to find code caves (empty space) in PE files (exe, dll) for x86/x64 Windows, useful for shellcode placement.
A cross-platform Rust library and CLI tool for parsing, verifying, and extracting digital signatures from PE files.
A proof-of-concept .NET executable packer that demonstrates runtime packing principles without native code.
Detects packers in PE/ELF/Mach-O executables by analyzing entropy to identify compressed or encrypted bytes.
A curated dataset of packed and unpacked PE executables for training machine learning models to detect packing.
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