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Browse 47 github tools
Detects exposed API keys and credentials across multiple cloud services
Identity-driven threat detection with graph-based activity attribution
AI-powered vulnerability discovery and automated patching for open-source code
Synthetic monitoring for websites, APIs, and user flows from global locations
Sunset CI/CD automation platform integrated with JFrog Artifactory
Scans repositories for exposed secrets, API keys, and credentials for bug bounty
Octoscan is a static analysis tool that scans GitHub Actions workflows for security vulnerabilities and misconfigurations.
A visual guide that maps attack vectors and exploitation techniques for identifying vulnerabilities in GitHub Actions configurations and CI/CD pipelines.
CI/CD security platform for GitHub Actions with runtime threat detection
An automated tool for identifying technologies used on websites with mass scanning capabilities, based on the Wappalyzer detection engine.
Secret Bridge monitors GitHub repositories to detect and alert on leaked secrets and sensitive data exposure.
ParamPamPam is an open-source tool that detects and exploits web application vulnerabilities using fuzzing, SQL injection, and XSS techniques.
A contribution guide that provides guidelines and instructions for developers to contribute custom activities to the Ayehu IT automation platform through GitHub pull requests.
Allstar is a GitHub App that continuously monitors repositories and organizations for security policy violations, creating alerts when best practices are not followed.
A community-driven public malware repository providing access to malware samples, tools, and resources for the cybersecurity community.
Standardized contribution guidelines for maintaining quality cybersecurity tool repositories and community-curated lists.
CloudSploit by Aqua is an open-source multi-cloud security scanning tool that detects security risks and compliance issues across AWS, Azure, GCP, OCI, and GitHub platforms.
A data visualization and statistical analysis tool for measuring the quality and effectiveness of threat intelligence indicator feeds through various analytical tests.
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