LogoMotive: Detecting Logos on Websites to Identify Online Scams - A TLD Case Study

Thijs van den Hout*, Thymen Wabeke, Giovane C.M. Moura, Cristian Hesselman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationPassive and Active Measurement - 23rd International Conference, PAM 2022, Proceedings
EditorsOliver Hohlfeld, Giovane Moura, Cristel Pelsser
PublisherSpringer
Pages3-29
Number of pages27
ISBN (Print)9783030987848
DOIs
Publication statusPublished - 22 Mar 2022
Event23rd Passive and Active Measurement Conference, PAM 2022 - Virtual Conference
Duration: 28 Mar 202230 Mar 2022
Conference number: 23
https://pam2022.nl/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13210 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd Passive and Active Measurement Conference, PAM 2022
Abbreviated titlePAM 2022
CityVirtual Conference
Period28/03/2230/03/22
Internet address

Keywords

  • n/a OA procedure

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