Analysis of Automated Web Application Security Vulnerabilities Testing
Pariwish Touseef, Khubaib Amjad Alam, Abid Jamil, Hamza Tauseef, Sahar Ajmal, Rimsha Asif, Bisma Rehman, Sumaira Mustafa · 2019
In recent years, the global spread of web risks have proposed an immediate demand for security models and prevention mechanisms. This study preliminary findings analyze an extensive literature review on web application vulnerabilities security testing. Out of an initial set of 237 studies, 30 studies were finally included as Primary Research Studies (PRS) by assuring two research questions. The results reveals that SQL injection followed by XSS and Sensitive data exposure are the most recurring risks of web applications. Similarly, Invalidated Redirects and Forwards/Under Protected APIs have received little attention by research community. The scope of this study is also extended to web application vulnerabilities testing and identification of relevant data sets. This paper also recommends future possibilities to enhance the security approaches for protection against the risks.