Systems for malicious website detection using machine learning

Abstract

Systems are disclosed herein for detecting and preventing navigation of a user computer to malicious websites. The systems can detect malicious websites using machine learning models and domain name databases containing data on safe and unsafe websites. The systems can extract a uniform resource locator (URL) associated with a webpage and compare the URL with the domain name databases to determine if the URL is safe or unsafe. When the system detects an unsafe website, the system can update the domain name databases to include data on the new unsafe website. The machine learning model may be trained using the updated domain name databases to enhance the detection of malicious websites and prevent users from navigating to such websites.

CPC Classifications