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@article{199868,
        author = {Daksh Doshi and Vedant Metha and Prof. Vaishali Wadhe},
        title = {Web Vulnerability Scanner},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {14379-14383},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199868},
        abstract = {Out front, today’s flood of online platforms turns apps into magnets for sharp digital threats - think SQL dodges, sneaky XSS tricks, or slipped access rules. What follows digs into how one automatic Web Vulnerability Scanner comes together, built not just to react but stay ahead. Instead of waiting, it moves on its own, crawling through pages like footsteps in fresh snow. Fuzzing powers part of its reach, tossing odd inputs to see where cracks appear. From start to finish, the goal stays clear: spot weak spots long before real harm shows up.
A fresh approach combines a full collection of signatures alongside smart pattern detection, spotting familiar risks along with new ones. Instead of just flagging issues, it focuses on reducing incorrect alerts while offering clear steps to fix problems. In practice, weaving automated web vulnerability scanning into development workflows lifts overall protection levels, keeping private information safer by design.},
        keywords = {WEB APPLICATION SECURITY, PENETRATION TESTING, DAST, SQL INJECTION, CROSS-SITE SCRIPTING, VULNERABILITY ASSESSMENT, CRAWLING, FUZZING, SDLC, CYBERSECURITY.},
        month = {April},
        }