Risk-Driven Vulnerability Management Dashboard

The rapid growth of web applications has significantly increased exposure to cybersecurity threats such as SQL Injection, Cross-Site Scripting (XSS), and security misconfigurations. Traditional vulnerability assessment techniques are often manual, inefficient, and lack effective prioritization mechanisms. This paper presents a Risk-Driven Vulnerability Management Dashboard, an automated system designed to detect, analyze, and manage vulnerabilities in web applications. The proposed system integrates automated scanning techniques with risk-based prioritization using standardized frameworks such as CVE and CVSS. The system categorizes vulnerabilities into severity levels and provides an interactive dashboard forvisualization using charts and metrics. The backend is developed using Flask, and results are stored in a structured database. Experimental results demonstrate improved efficiency, accuracy, and usability compared to traditional methods. The system enables proactive threat management and supports informed decision- making, contributing to enhanced cybersecurity practices.