Systems and methods for machine learning based application security testing

A computer-implemented method for verifying vulnerabilities, the method comprising:

• transmitting, by a scanner, one or more scan operations;
• receiving, at the scanner, one or more responses to the one or more scan operations;
• tokenizing, by the scanner, the one or more responses;
• verifying, by one or more neural networks, the one or more tokenized responses;
• and
• determining one or more confidences of the one or more verified responses.

A non-transitory computer-readable medium storing instructions, which when executed by a processor causes the processor to:

• transmit one or more scan operations;
• receive one or more responses to the one or more scan operations;
• tokenize the one or more responses;
• transmit, to one or more neural networks, the one or more tokenized responses;
• receive, from the one or more neural networks, verification of the one or more tokenized responses;
• and
• determine one or more confidences of the one or more verified responses.