AI-Powered Login Page Detection Scanner

This scanner utilizes a machine learning-based model to detect the presence of a login screen on the target URL.
Unlike traditional pattern-matching approaches, it performs a deeper analysis by evaluating HTML structures and visual elements of the page.

It is particularly useful for security researchers aiming to identify potential attack surfaces, such as brute-force login pages or authentication endpoints.
The result clearly states whether a login interface has been detected or not, enabling follow-up actions such as credential stuffing simulations, MFA checks, or authentication bypass testing.