Abstract:
In the modern era of technology, the usage of web applications has become enormous. Web
applications are now dealing with much more sensitive data. As web applications dealing
with sensitive data, they are encountering lots of threats. Intruders are always trying to find
new ways to penetrate these applications and misuse them. The attackers use vulnerabilities
to perform those attacks. Cross site request forgery aka CSRF is one of the vital threats and
top ranked web application vulnerability. CSRF attack is a type of attack where end users
are forced to perform unwanted actions on a web application in which they are currently
authenticated. In some previous researches, several numbers of case studies are found. In
many researches, different types of models are proposed and developed. To secure the web
applications that are vulnerable to CSRF vulnerability, many more studies need to be done
in this field. Therefore, there is not enough studies on automated system to detect this CSRF
vulnerability. Therefore, the key focus of this research is to develop an automated web
application vulnerability detection model for detecting the CSRF vulnerability in web
applications. My proposed solution is to do real time scan of CSRF vulnerability in given
URL.
