Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse
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Abstract (arXiv)
Domain squatting is a common adversarial practice where attackers register domain names that are purposefully similar to popular domains. In this work, we study a specific type of domain squatting called "combosquatting," in which attackers register domains that combine a popular trademark with one or more phrases (e.g., betterfacebook[.]com, youtube-live[.]com). We perform the first large-scale, empirical study of combosquatting by analyzing more than 468 billion DNS records---collected from passive and active DNS data sources over almost six years. We find that almost 60% of abusive combosquatting domains live for more than 1,000 days, and even worse, we observe increased activity associated with combosquatting year over year. Moreover, we show that combosquatting is used to perform a spectrum of different types of abuse including phishing, social engineering, affiliate abuse, trademark abuse, and even advanced persistent threats. Our results suggest that combosquatting is a real problem that requires increased scrutiny by the security community.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Aug 2017.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 1; 2026: 2.
7 papers.
- 2022PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learningcited by 3
- 2025A First Look at the Security Issues in the Model Context Protocol Ecosystemcited by 3
- 2026Training Computer Use Agents to Assess the Usability of Graphical User Interfacescited by 2
- 2021PhishMatch: A Layered Approach for Effective Detection of Phishing URLscited by 0
- 2023Sound-skwatter (Did You Mean: Sound-squatter?) AI-powered Generator for Phishing Preventioncited by 0
- 2024PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twittercited by 0
- 2026Can LLMs Reason About Brand Ownership? An Empirical Study of Domain Attribution Intelligencecited by 0
- 2026Can LLMs Reason About Brand Ownership? An Empirical Study of Domain Attribution Intelligence18 Jun 2026
- 2026Training Computer Use Agents to Assess the Usability of Graphical User Interfaces28 Apr 2026
- 2025A First Look at the Security Issues in the Model Context Protocol Ecosystem18 Oct 2025
- 2024PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twitter30 Jul 2024
- 2023Sound-skwatter (Did You Mean: Sound-squatter?) AI-powered Generator for Phishing Prevention10 Oct 2023
- 2022PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning15 Mar 2022
- 2021PhishMatch: A Layered Approach for Effective Detection of Phishing URLs4 Dec 2021