Tools for detecting security vulnerabilities in web based applications

Web applications face security issues due to the handling of sensitive information. The proposed solution uses a deep learning technique called CapsuleNet to detect web attacks by processing and analyzing data through pre-processing steps like tokenization and vectorization. This method improves accuracy in detecting attacks compared to other existing techniques