Awesome GitHub RepositoriesOffline Vulnerability Analysis

Kubescape is a Kubernetes security posture management platform designed to scan clusters, manifests, and images for misconfigurations, vulnerabilities, and compliance risks. It functions as a comprehensive security suite incorporating a compliance scanner, a container image vulnerability scanner, an admission controller for policy enforcement, and a runtime security monitor. The platform distinguishes itself through runtime-aware vulnerability filtering, which maps libraries loaded in memory to determine if vulnerabilities are actually reachable. It also integrates with AI assistants via a Mo

osv-scanner is a software composition analysis tool and vulnerability scanner that checks project dependencies and container images against the Open Source Vulnerabilities database. It functions as a dependency remediation tool and can be integrated into custom Go applications as a programmable security library. The project distinguishes itself through a remediation workflow that includes an interactive terminal user interface and automated scripting for upgrading vulnerable packages in lockfiles and manifests. It employs call-graph reachability analysis to determine if vulnerable code is act

Nettacker is an automated penetration testing framework designed to orchestrate reconnaissance, port scanning, and vulnerability detection. It functions as a network reconnaissance tool and vulnerability scanner that identifies open ports, fingerprints services, and checks systems against databases of known security flaws. The framework distinguishes itself by combining a web application crawler for discovering hidden paths via fuzzing with a vulnerability management system that persists scan results in a database to track historical assessments. It also includes specialized capabilities for

Vulscan is a network service auditor and vulnerability scanner that utilizes the Nmap Scripting Engine to identify security flaws. It functions as a version-based flaw detector, matching detected software banners against an offline vulnerability database to identify potential security risks without requiring a constant internet connection. The tool provides mechanisms for refining identification accuracy, including an interactive mode for manual version overriding and configurable matching logic to filter results. It manages security data through a system for loading local datasets and synchr