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 language | English |
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Title of host publication | Passive and Active Measurement - 23rd International Conference, PAM 2022, Proceedings |
Editors | Oliver Hohlfeld, Giovane Moura, Cristel Pelsser |
Publisher | Springer |
Pages | 3-29 |
Number of pages | 27 |
ISBN (Print) | 9783030987848 |
DOIs | |
Publication status | Published - 22 Mar 2022 |
Event | 23rd Passive and Active Measurement Conference, PAM 2022 - Virtual Conference Duration: 28 Mar 2022 → 30 Mar 2022 Conference number: 23 https://pam2022.nl/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13210 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 23rd Passive and Active Measurement Conference, PAM 2022 |
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Abbreviated title | PAM 2022 |
City | Virtual Conference |
Period | 28/03/22 → 30/03/22 |
Internet address |
Keywords
- n/a OA procedure