This vulnerable Android application is made for security enthusiasts and developers to learn Android insecurities, with a back-end server component written in Python2. It includes a variety of vulnerabilities such as flawed broadcast receivers, weak authorization mechanisms, insecure storage, and more.
A vulnerable Android application demonstrating various security issues and vulnerabilities
A demonstration site for the Acunetix Web Vulnerability Scanner, intentionally vulnerable to various web-based attacks.
OpenVAS is an open-source vulnerability scanner that provides extensive testing capabilities for identifying security weaknesses in networks and systems.
A fully customizable, offensive security reporting solution for pentesters, red teamers, and other security professionals.
A presentation about the OWASP Top 10, a list of the most critical security risks to web applications.
A runtime threat management and attack path enumeration tool for cloud-native environments
A tool for scanning websites with open .git repositories and dumping their content for Bug Hunting/Pentesting Purposes.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
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.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
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.