Detection of impersonated web pages and other impersonation methods for web-based cyber threats

Abstract

Identifying a malicious web page that impersonates a legitimate web page, including extracting HMTL source and a certificate for a specified web page, parsing the extracted HTML to identify objects, forms, links, templates, images and logos embedded in the HTML, and determining whether or not the HTML source harvests user credentials. If the determining is negative, then marking the specified web page as clean. If the determining is affirmative, then verifying the origin and ownership of the extracted certificate by examining its digital signature to determine a possibility of an impersonation attempt, applying image recognition to the identified images and logos, and comparing the identified images and logos to known images and brand logos of the certificate owner. If the comparing is affirmative, then mark the web page as clean. If the comparing is negative, then mark the web page as suspicious and block the web page from being accessed.