Abstract
The security testing of web applications is a method which ascertains that a particular web application defends the web data and retains the functionality as anticipated. Any loopholes or improper validation or lack of sanitization in web application causes major security flaws like cross-site scripting (XSS), SQLi, etc., and the intruder avails the advantage of it which results in deformation of Web sites, disclosure of sensitive data, hijacking of cookies or session, etc. So to overcome these issues, research practitioners have suggested several security testing approaches for detection and removal of vulnerabilities in web application. In this research article, we provide several XSS vulnerability detection approaches using static analysis and evolutionary genetic algorithm (GA) but no study has ever revealed the false-negative results of source code. So, we plan to fill this research gap by integrating the approach of static taint analysis with GA. Static taint analysis can report candidate false negatives, and genetic algorithm will generate the test cases for exposing the actual vulnerabilities.
Published Version
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