IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 13 Issue 2 Computer Science English March - April 2025 N N Y 2025 04 21 Computer Sciences Design and Implementation of an Enhanced Web Application Vulnerability Scanner English Y 89 95 ShriKrishna Balwante English Y Jyotiraditya Dhamdhere English N Kunal Pawar English N https://doi.org/10.55524/ijircst.2025.13.2.13 Modern businesses heavily depend on web applications, while these platforms consistently serve as the main focus for cybercriminals. Current research demonstrates the necessity of advanced vulnerability discovery techniques to protect sensitive information. Research on vulnerability scanners includes a review of static analysis methods, dynamic scanning methods, and automated framework integration, which this paper summarizes. The research shows that static analysis tools cover all code fully but generate many false alerts; thus, static testing and dynamic methods both have limitations in covering web application vulnerabilities effectively. The merger of information from various scanners as part of automated penetration testing frameworks produces superior detection accuracy as well as elevated recall and improved F-measures. Additional research must concentrate on developing more advanced methods for integration techniques combined with adaptive machine learning and artificial intelligence to minimize the number of incorrect alerts. English Web Application Security, Vulnerability Scanners, Static Analysis, Dynamic Analysis, Automated Penetration Testing https://ijircst.org/abstract.php?article_id=1362