Docker Bench for Security
The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production. Automated tests are based on the CIS Docker Benchmark v1.6.0. We are making this available as an open-source utility so the Docker community can have an easy way to self-assess their hosts and Docker containers against this benchmark.
FEATURES
ALTERNATIVES
A series of small test cases designed to exercise different parts of a static security analyzer
A collection of 132 exploits added to Packet Storm in April 2024
Nmap is an essential network scanning tool used for network security auditing and status monitoring.
A collection of real-world scenarios to evaluate command injection detection and exploitation abilities
A platform to learn SQL injection techniques and methods
A vulnerable Android application demonstrating various security issues and vulnerabilities
A collection of SQL injection cheat sheets for various databases
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.