INFERMAL: Inferential analysis of maliciously registered domains
Yevheniya Nosyk, Maciej Korczy\'nski, Carlos Ga\~n\'an, Sourena Maroofi, Jan Bayer, Zul Odgerel, Samaneh Tajalizadehkhoob, Andrzej Duda

TL;DR
This study systematically analyzes factors influencing malicious domain registrations, revealing that lower costs and easier access significantly increase abuse, providing insights for developing targeted anti-abuse strategies.
Contribution
It introduces a comprehensive feature set and uses regression analysis to quantify how economic and operational factors impact malicious domain registration.
Findings
Lower registration fees increase malicious domains by 49%.
Availability of free services boosts phishing activities by 88%.
API access correlates with a 401% rise in malicious domains.
Abstract
Cybercriminals have long depended on domain names for phishing, spam, malware distribution, and botnet operation. To facilitate the malicious activities, they continually register new domain names for exploitation. Previous work revealed an abnormally high concentration of malicious registrations in a handful of domain name registrars and top-level domains (TLDs). Anecdotal evidence suggests that low registration prices attract cybercriminals, implying that higher costs may potentially discourage them. However, no existing study has systematically analyzed the factors driving abuse, leaving a critical gap in understanding how different variables influence malicious registrations. In this report, we carefully distill the inclinations and aversions of malicious actors during the registration of new phishing domain names. We compile a comprehensive list of 73 features encompassing three…
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Taxonomy
TopicsSpam and Phishing Detection · Cybercrime and Law Enforcement Studies · Web Application Security Vulnerabilities
