PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration Shuang Hao∗ Alex Kantcheliany Brad Millerx Vern Paxson† Nick Feamsterz ∗ y University of California, Santa Barbara University of California, Berkeley x z Google, Inc. International Computer Science Institute Princeton University
[email protected] {akant,vern}@cs.berkeley.edu
[email protected] [email protected] ABSTRACT content [18, 53]. To mitigate these threats, operators routinely build Miscreants register thousands of new domains every day to launch reputation systems for domain names to indicate whether they are Internet-scale attacks, such as spam, phishing, and drive-by down- associated with malicious activity. A common mode for developing loads. Quickly and accurately determining a domain’s reputation reputation for DNS domain names is to develop a blacklist that curates (association with malicious activity) provides a powerful tool for mit- “bad domains”. A network operator who wishes to defend against an igating threats and protecting users. Yet, existing domain reputation attack may use a domain blacklist to help determine whether certain systems work by observing domain use (e.g., lookup patterns, content traffic or infrastructure is associated with malicious activity. hosted)—often too late to prevent miscreants from reaping benefits of Unfortunately, curating a DNS blacklist is difficult because of the attacks that they launch. the high rate of domain registrations and the variety of attacks. For As a complement to these systems, we explore the extent to which example, every day around 80,000 new domains are registered in features evident at domain registration indicate a domain’s subsequent the .com zone, with a peak rate of over 1,800 registrations in a sin- use for malicious activity.