A High-Performance Algorithm and Tool for Detecting Critical Vulnerabilities

Abstract

As web applications continue to advance and permeate various aspects of our lives, the prevalence of dangerous website security vulnerabilities, including SQL injection and cross-site scripting, poses a significant threat. These vulnerabilities create an enticing opportunity for hackers to exploit websites for personal gain, political motives, or to gain notoriety. While some research and commercial software have been developed to scan and identify these vulnerabilities, this paper introduces an efficient algorithmic approach and accompanying tool specifically designed for web security vulnerability detection. The proposed method addresses the need for accurate vulnerability detection by presenting a comprehensive study and tool. Through experimental evaluations, it is demonstrated that the algorithm achieves a high level of accuracy in detecting vulnerabilities. Moreover, the tool outperforms popular commercial software available in the market, boasting faster performance and the ability to identify less commonly known vulnerabilities such as shell injection or file inclusion.