Potentially dangerous files GitHub repository for fuzzing and testing file formats. This repository contains a collection of potentially dangerous files, including malware, viruses, and other malicious code. Please use with caution and at your own risk.
FEATURES
ALTERNATIVES
Yaraprocessor allows for scanning data streams in unique ways and dynamic scanning of payloads from network packet captures.
A cutting-edge AI-based IT security platform that identifies malware and cyber-attacks within seconds
A de-obfuscator for M/o/Vfuscator, a notorious obfuscator, designed to reverse the effects of M/o/Vfuscator's obfuscation.
A powerful tool for identifying and exploiting Cross-Site Scripting (XSS) vulnerabilities.
Largest open collection of Android malware samples, with 298 samples and contributions welcome.
Studying Android malware behaviors through Information Flow monitoring techniques.
A Django web interface for managing Yara rules with features like search, categorization, and bulk edits.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.