Abstract

In this paper we explore the potential of leveraging properties inherent to domain registrations and their appearance in DNS zone files to predict the malicious use of domains proactively, using only minimal observation of known-bad domains to drive our inference. Our analysis demonstrates that our inference procedure derives on average 3.5 to 15 new domains from a given known-bad domain. 93 % of these inferred domains subsequently appear suspect (based on third-party assessments), and nearly 73 % eventually appear on blacklists themselves. For these latter, proactively blocking based on our predictions provides a median headstart of about 2 days versus using a reactive blacklist, though this gain varies widely for different domains. 1

Citations