IJETEV1I1A002 – BLOSTERING WEB SECURITY BY INTEGRATING FRAMEWORKS TO DETECT SQL INJECTION AND XSS VULNERABILITIES

ABSTRACT – With the increasing number of web applications, cyber threats such as SQL Injection (SQLi) and Cross-Site Scripting (XSS) have become more prevalent. This paper presents a framework for bolstering web security by integrating multiple detection mechanisms for SQLi and XSS vulnerabilities. The system combines automated scanning techniques with penetration testing tools such as SQLMap for SQL Injection and script-based analysis for XSS detection. The proposed framework enhances web security by assisting security professionals in identifying vulnerabilities and mitigating potential threats before exploitation occurs. The findings emphasize the importance of proactive security assessment in modern web applications. Additionally, this research explores novel techniques in heuristic analysis, machine learning-based anomaly detection.