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This project is an advanced vulnerability management system that aggregates reports from multiple security scanners, deduplicates findings, and generates a consolidated view of vulnerabilities. The system uses natural language processing (NLP) and machine learning techniques to provide more meaningful vulnerability assessments with less redundancy.

Project skeleton and boilerplate of a Web-based pseudo SSO portal deployed on a load-balanced KinD cluster