Malware Analysis
Tools and techniques for analyzing, reverse-engineering, and understanding malicious software.
Explore 259 curated tools and resources
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Binary Ninja is an interactive decompiler, disassembler, debugger, and binary analysis platform with a focus on automation and a clean GUI.
Identifies 137 malicious npm packages and gathers system information to a remote server.
Holistic malware analysis platform with interactive sandbox, static analyzer, and emulation capabilities.
A write-up of the reverse engineering challenge from the 2019 BambooFox CTF competition
A tool that extracts and deobfuscates strings from malware binaries using advanced static analysis techniques.
Yabin creates Yara signatures from malware to find similar samples.
A .NET wrapper for libyara that provides a simplified API for developing tools in C# and PowerShell.
One stop shop for decompiling Android apps with a focus on regenerating R references.
A 32-bit assembler level analyzing debugger for Microsoft Windows.
A disassembly framework with support for multiple hardware architectures and clean API.
A web-based manager for Yara rules, allowing for storage, editing, and management of Yara rules.
Repository of scripts, signatures, and IOCs related to various malware analysis topics.
A program to manage yara ruleset in a database with support for different databases and configuration options.
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Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.