Tools for identifying, prioritizing, and remediating security vulnerabilities in systems and applications. Task: Vulnerability Scanning
Explore 46 curated tools and resources
OpenVAS is an open-source vulnerability scanner that provides extensive testing capabilities for identifying security weaknesses in networks and systems.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
A hosted web application security testing tool that enables security researchers to register, activate their accounts, and scan web applications for vulnerabilities.
An open-source attack surface management platform for identifying and managing vulnerabilities
A small script to check a list of domains against open redirect vulnerability
A multithreaded vulnerability scanner for web-based applications
kube-hunter hunts for security weaknesses in Kubernetes clusters.
DOM-based XSS vulnerability scanner
Audits JavaScript projects for known vulnerabilities and outdated package versions using OSS Index v3 REST API.
An extensible, heuristic-based vulnerability scanning tool for installed npm packages.
A tool for scanning websites with open .git repositories and dumping their content for Bug Hunting/Pentesting Purposes.
A demonstration site for the Acunetix Web Vulnerability Scanner, intentionally vulnerable to various web-based attacks.
A runtime threat management and attack path enumeration tool for cloud-native environments
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.