Crosscan: reflected xss scannera website to scan for reflected xss vulnerabilities.

Cross-Site Scripting (XSS) vulnerabilities are one of the most common security issues in web applications, allowing attackers to inject malicious scripts into web pages viewed by other users. Reflected XSS, a subset of XSS attacks, poses a significant risk as it can be exploited to steal sensitive information, impersonate users, and spread malware. This paper introduces an automated scanner designed to identify and analyze Reflected XSS vulnerabilities in web applications, streamlining the process of vulnerability detection for developers and security professionals.

The proposed scanner leverages a systematic approach to simulate attack vectors, monitor reflected input parameters, and detect potential vulnerabilities without manual intervention. Through experimental validation on various web applications, the scanner demonstrated high accuracy and efficiency in identifying Reflected XSS vulnerabilities, offering a practical solution for enhancing web application security. This research aims to contribute to proactive security measures and provide a framework for continuous improvement in automated XSS vulnerability detection.