The PE file analysis toolkit
- binary-analysis
- reverse-engineering
- pe-file
- portable-executable
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The PE file analysis toolkit
Andromeda - Interactive Reverse Engineering Tool for Android Applications
Pakkero is a binary packer written in Go made for fun and educational purpose. Its main goal is to take in input a program file (elf binary, script, even appimage) and compress it, protect it from tampering and intrusion.
High-performance pure-javascript SHA1 implementation suitable for large binary data, reaching up to half the native speed.
EVTXtract recovers and reconstructs fragments of EVTX log files from raw binary data, including unallocated space and memory images.
A SDK for the creation of analysis tools without obtaining app source code in order to profile runtime performance, examine code coverage, and track high-risk behaviors of a given app on Android 5.0 and above.
SuperGhidra: Autonomous Agent Reverse Engineering, Lock-Free Ghidra Daemon & C++ Recovery Suite
Deep memory analysis for Windows processes — the tool that saves you hours of debugging
The Redexer binary instrumentation framework for Dalvik bytecode
Python implementation of the Packed Executable iDentifier (PEiD)
Scalable Binary Data Extraction in Hadoop
NTFUZZ: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis (IEEE S&P '21)
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes
Dataset of packed PE samples
PocketBase + SvelteKit (Static): minimalistic template with configured authorization featuring a single binary or Docker image for deploying.
Encrypts 64-bit elf files that decrypt at runtime.
Packing detection tool for PE files
Common Lisp system for generating and parsing of OpenSSH keys
Dataset of packed ELF samples
Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.