Showing 18 of 18 projects
A curated list of awesome resources for executable packing, unpacking, and detection, covering packers, tools, and literature.
A curated list of awesome resources, tools, and literature on executable packing, unpacking, and detection for malware analysis and cybersecurity.
A curated list of awesome resources (papers, tools, packers) related to executable packing, unpacking, and detection for malware analysis and cybersecurity.
A packer that compresses and encrypts .NET assemblies, storing payloads within PE file structures.
Python implementation of PEiD for detecting packers in Windows PE files using signature databases.
A simple Windows EXE packing tool for learning and investigating PE file structure.
A PE packer that compresses executables with Huffman encoding and encrypts them with XOR, executing directly from memory.
Docker container with a CLI toolkit for generating datasets of packed executables and training ML models for packing detection.
A Windows x86 PE packer written in pure C/C++ that implements a linker for repackaging executables with in-memory decompression.
A curated dataset of packed and unpacked PE executables for training machine learning models to detect packing.
Encrypts 64-bit ELF files with self-decryption at runtime for binary protection.
An ELF packer that encrypts the .text section of executables and injects self-decryption shellcode, printing '....WOODY....' upon execution.
Adversarial tool that alters packed executables to evade static packing detection by malware analysis tools.
A dataset of ELF files packed with various packers for training machine learning models on executable packing detection.
A detailed guide and implementation for a simple PE file packer that encrypts executable sections and adds an unpacking stub.
A PE file packer that adds a custom shell to executable files for protection and modification.
An extensible ELF64 packer for Linux x86_64 and AArch64, featuring 22 compression codecs, EXE filters, and ML-driven codec selection.
Detects packers in executable files using an entropy-based heuristic from academic research.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.