AndroBugs Framework is an Android vulnerability analysis system that helps developers or hackers find potential security vulnerabilities in Android applications. It offers efficient scanning (less than 2 minutes per scan on average) and high accuracy. Features include finding security vulnerabilities, checking for missing best practices, identifying dangerous shell commands, collecting information from millions of apps, and assessing app security protection. The tool is designed for Android developers or hackers on Windows and does not require the installation of Python 2.7 or any 3rd-party libraries.
A tool for analyzing Android applications in local storage with various functionalities.
Detect and warn about potential malicious behaviors in Android applications through static analysis.
A comprehensive checklist for securing Android apps
A Python tool for patching Dalvik bytecode in DEX files and assisting in Android application analysis
Aggregates known Android security vulnerabilities with detailed examples and analysis.
GRFICS is a graphical realism framework for industrial control simulations using Unity 3D game engine graphics to enhance ICS security training.
A free and open platform for detecting and preventing email attacks like BEC, malware, and credential phishing, utilizing Message Query Language (MQL) for behavior description.
A platform for creating and managing fake phishing campaigns to raise awareness and train users to identify suspicious emails.
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.