DETECTING CROSS-SITE REQUEST FORGERY WITH MACHINE LEARNING FOR WEB VULNERABILITY DETECTION

Abstract

In this project, we propose a methodology to leverage Machine Learning (ML) for the detection of web application vulnerabilities. Web applications are particularly challenging to analyses, due to their diversity and the widespread adoption of custom programming practices.