de4dot is a .NET deobfuscator and unpacker designed to reverse obfuscation and restore readable code and metadata within .NET assemblies. It functions as a bytecode analyzer that simplifies control flow, strips anti-debugging protections, and extracts original payloads from packed executable wrappers. The project distinguishes itself through a modular deobfuscation pipeline and a sandbox environment used for dynamic string decryption, which executes decryption methods to replace encrypted strings with plain-text values. It can identify specific obfuscation tools through pattern-based binary a
pyinstxtractor is a PyInstaller executable unpacker and Python bytecode recovery tool. It functions as a helper for decompiling compiled Python binaries by extracting bundled binaries and bytecode from executables created with PyInstaller. The project includes a bytecode decryptor to remove encryption from extracted files and a header repair tool that restores corrupted headers. These capabilities ensure that extracted compiled files are compatible with bytecode decompilation software. The utility covers reverse engineering of Python applications, supporting malware analysis workflows throug
Flare-floss is a security utility and static binary string extractor designed to uncover hidden text and configuration data within compiled binaries. It functions as an obfuscated string decoder and reverse engineering tool to translate encoded strings into readable text for security auditing. The project employs emulated execution to capture the decrypted state of strings in memory by running small chunks of binary code in a virtual CPU. It further utilizes static analysis disassembly, intermediate representation analysis, and heuristic-based pattern matching to identify and decode strings t
YARA is a pattern matching engine and binary analysis tool used to identify and classify malware samples. It functions as a malware research framework that allows for the definition of file descriptions and detection rules to find indicators of compromise within binaries. The system enables the creation of custom detection rules using strings, wildcards, and regular expressions. These rules use boolean logic to match textual or binary patterns, allowing for the classification of files into specific malware families and the automation of threat intelligence. The engine utilizes Aho-Corasick s