HARMUR: storing and analyzing historic data on malicious domains.

ABSTRACTA large amount of work has been done to develop tools and techniques to detect and study the presence of threats on the web. This includes, for instance, the development of a variety of different client honeypot techniques for the detection and study of drive-by downloads, as well as the creation of blacklists to prevent users from visiting malicious web pages. Due to the extent of the web and the scale of the problem, existing work typically focuses on the collection of information on the current state of web pages and does not take into account the temporal dimension of the problem. In this paper we describe HARMUR, a security dataset developed in the context of the WOMBAT project that aims at exploring the dynamics of the security and contextual information associated to malicious domains. We detail the design decisions that have led to the creation of an easily extensible architecture, and describe the characteristics of the underlying dataset. Finally, we demonstrate through examples the value of the collected information, and the importance of tracking the evolution of the state of malicious domains to gather a more complete picture on the threat landscape.