Collection of specialized cybersecurity tools in OT, ICS, IoT, Mobiel and other specialized areas.
Explore 164 curated tools and resources
A lightweight CTF platform inspired by motherfuckingwebsite.com with a focus on challenge difficulty.
Email collection point designed to trap spammers and blacklist IPs.
A Python library for querying ThreatCrowd's API for email, IP, domain, and antivirus reports
Unofficial Python API for searching, browsing, and downloading Android apps from Google Play.
Syntax highlighting for Smali (Dalvik) Assembly language in Vim.
A guide to secure Ruby development, providing guidelines and recommendations for secure coding practices.
Bastille-Linux is a system hardening program that proactively configures the system for increased security and educates users about security settings.
A security dataset and CTF platform with full and attack-only versions pre-indexed for Splunk.
A book that helps improve Docker security by covering risks and countermeasures
echoCTF is a computer security framework for running cybersecurity exercises and competitions like Capture the Flag, used for network penetration testing and security auditing.
AWS account compliance using centrally managed Config Rules
Node package for preparing CTF events with OWASP Juice Shop challenges for popular CTF frameworks.
A tool for scraping CTF writeups from ctftime.org and organizing them for easy access.
Community project for developing common guidelines and best practices for secure configurations.
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.
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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.