Tools and techniques for analyzing, reverse-engineering, and understanding malicious software.
Explore 259 curated tools and resources
Debugger and .NET assembly editor with advanced debugging features.
Microservice for scanning files with Yara
KLara is a distributed system written in Python that helps Threat Intelligence researchers hunt for new malware using Yara.
OCaml wrapper for YARA matching engine for malware identification
A tool that executes programs in memory from various sources
Automate the process of writing YARA rules based on executable code within malware.
A .Net wrapper library for the native Yara library with interoperability and portability features.
SwishDbgExt is a Microsoft WinDbg debugging extension that enhances debugging capabilities for kernel developers, troubleshooters, and security experts.
Explores malware interaction with Windows API and methods for detection and prevention.
GuardDog is a CLI tool for identifying malicious PyPI and npm packages through heuristics and Semgrep rules.
Guide on emulating Raspberry Pi with QEMU and exploring Arm TrustZone research.
A collection of reverse engineering challenges covering a wide range of topics and difficulty levels.
Cybersecurity tool merging DarunGrim's analysis algorithms, currently in internal testing for official release.
A serverless, real-time, and retroactive malware detection tool that scans files with YARA rules and alerts incident response teams.
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.
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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 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.