LogoMotive

Abstract

Logos give a website a familiar feel and promote trust. Scammers take advantage of that by using well-known organizations’ logos on malicious websites. Unsuspecting Internet users see these logos and think they are looking at a government website or legitimate webshop, when it is a phishing site, a counterfeit webshop, or a site set up to spread misinformation. We present the largest logo detection study on websites to date. We analyze 6.2M domain names from the Netherlands ’ country-code top-level domain.nl, in two case studies to detect logo misuse for two organizations: the Dutch national government and Thuiswinkel Waarborg, an organization that issues certified webshop trust marks. We show how we can detect phishing, spear phishing, dormant phishing attacks, and brand misuse. To that end, we developed LogoMotive, an application that crawls domain names, generates screenshots, and detects logos using supervised machine learning. LogoMotive is operational in the.nl registry, and it is generalizable to detect any other logo in any DNS zone to help identify abuse.