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This is a collection of malware source code for various platforms and programming languages.
A collection of malware analysis tools and resources
A repository of LIVE malwares for analysis and research purposes.
A program for determining file types on Windows, Linux, and macOS, useful for reverse engineering and security analysis.
Easily identify emails, IP addresses, and more from text or PCAP files with this cybersecurity-focused Python library.
Pafish is a malware analysis tool that uses various techniques to detect virtual machines and analysis environments.
This is a collection of classic and modern trojan builders, not a developer tool for AI-powered coding.
A Python-based malware analysis and unpacking tool for security researchers and analysts.
APKiD is a tool for identifying Android apps that have been packed, obfuscated, or secured using various techniques.
A Go-based open-source tool for analyzing and detecting malware using VirusTotal-like functionality.
This repository contains malicious functionality to aid in malware development, which is not suitable for developer discovery.
A Python-based YARA rule generator for malware analysis and research.
This repository provides an organized list of resources for malware development, which is not recommended for general use.
A curated list of resources related to executable packing, useful for malware analysis and security research.
This is a database of known phishing domains and URLs that can be used to validate and detect phishing attacks.
This repository contains research code and papers from members of the vx-underground community, focused on malware development and research.
DRAKVUF Sandbox is an automated hypervisor-level malware analysis system for reverse-engineering and security research.
A real-world malware collection for researchers to understand and analyze malware threats.
Builds malware analysis Windows VMs for secure malware research and analysis.
Obfuscate specific Windows APIs with different APIs for malware research and security applications.
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