Essential tools and best practices for securing software applications throughout their lifecycle. Task: Vulnerability Scanning
Explore 20 curated tools and resources
A web application firewall and API security platform that combines API discovery, runtime protection, vulnerability testing, and security posture management.
A DAST solution that performs automated security testing of APIs and web applications within development workflows and CI/CD pipelines.
Octoscan is a static analysis tool that scans GitHub Actions workflows for security vulnerabilities and misconfigurations.
Aqua Security is a CNAPP that provides comprehensive security for cloud native applications across their entire lifecycle, from development to production, in various cloud and container environments.
Veracode is an intelligent software security platform that helps developers and security teams secure code, find and fix flaws, and automate remediation.
WPRecon is a tool for recognizing vulnerabilities and blackbox information for WordPress.
A simple Swagger-ui scanner that detects old versions vulnerable to various XSS attacks
Automated web application testing tool
A tool for automated HTTP header injection
A free online tool to scan for DOM-based XSS vulnerabilities in HTML, JavaScript, and CSS files.
Dynamic application security testing tool for identifying and fixing web application vulnerabilities.
Static application security testing (SAST) tool for scanning source code against security and privacy risks.
A tool to profile web applications based on response time discrepancies.
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.