Design and Implementation of an Automated System for Detecting CSRF Vulnerabilities in Web Applications

Abstract

In the current technical world, there are extensive use of web applications. More confidential information is being handled by web apps. Sensitive data processing web applications face several risks. Hackers are constantly trying to come up with new ways to break into and take advantage of these applications. These attacks are carried out by exploiting vulnerabilities. It is one of the most critical threats to our web application and is known as cross-site request forgery (CSRF). Cross-Site Request Forgery (CSRF) The CSRF attack is an attack that forces end users to execute unwanted actions on web applications in which they are currently authenticated. Several past studies have identified many case reports. There are always models proposed and developed in any research. There is a lot of additional work that remains in this area to protect web applications that are potentially vulnerable to CSRF. Therefore, little research has been done on automated systems to detect this CSRF application layer attack. This work aims to design an automated model for the identification of CSRF threat in website applications. I recommended real time scan CSRF vulnerability in the given address.