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@article{199371,
        author = {K.Moniga and Dr. M.Rahimal Beevi},
        title = {DETECTION OF REAL TIME WEB APPLICATION THREAT USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12226-12230},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199371},
        abstract = {A web vulnerability scanner is an automated security tool designed to identify, analyse, and report vulnerabilities in web applications, websites, and associated services. It works by systematically crawling web pages, mapping application structures, and simulating various attack techniques such as SQL injection, cross-site scripting (XSS), and authentication flaws. By comparing detected behaviours against known vulnerability patterns and security misconfigurations, the scanner helps uncover potential entry points for attackers. Modern web vulnerability scanners often integrate with development pipelines, enabling continuous security assessment and faster remediation. These tools play a critical role in proactive cybersecurity strategies by reducing manual effort, improving coverage, and ensuring compliance with security standards.},
        keywords = {Web vulnerability scanner, Web security, Vulnerability assessment, Penetration testing, SQL injection, Cross-site scripting (XSS), Security misconfiguration, Automated scanning, Cybersecurity, Risk management.},
        month = {April},
        }