Essential tools and best practices for securing software applications throughout their lifecycle.
Explore 193 curated tools and resources
Curiefense is an application security platform that protects against various threats and offers community involvement.
A Java API for searching and downloading Android applications from Google Play with additional check-in features for generating ANDROID-ID.
A tool that uses Apache mod_rewrite to redirect invalid URIs to a specified URL
FlowDroid is a context-, flow-, field-, object-sensitive and lifecycle-aware static taint analysis tool for Android applications.
Integrates static APK analysis with Yara and requires re-compilation of Yara with the androguard module.
A static analysis tool for Android apps that detects malware and other malicious code
Cross-site scripting labs for web application security enthusiasts
OWASP Damn Vulnerable Web Sockets (DVWS) is a vulnerable web application for client-server communication with numerous vulnerabilities.
A comprehensive cheatsheet for XSS filter evasion techniques.
A tool to conduct preliminary security checks in code, infrastructure, or IAM configurations using various open-source tools.
Static security code scanner (SAST) for Node.js applications with Docker support and integrations with Slack.
A plugin for viewing, detecting weak configurations, and generating Content Security Policy headers.
A lightweight web security auditing toolkit that simplifies security tasks and enhances productivity.
A free online tool that scans and fixes common security issues in WordPress websites.
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.