Author(s): Junjie Zhang, Yinglian Xie, Fang Yu, David Soukal, Wenke Lee

Download: Paper (PDF)

Date: 23 Apr 2013

Document Type: Presentations

Additional Documents: Slides

Associated Event: NDSS Symposium 2013


Modern attackers increasingly exploit search engines as a vehicle to identify vulnerabilities and to gather information for launching new attacks. In this paper, we perform a large-scale quantitative analysis on bot queries received by the Bing search engine over month-long periods. Our analysis is based on an automated system, called SBotScope, that we develop to dissect large-scale bot queries. Our study shows that 33% of bot are searching for vulnerabilities, followed by 11% harvesting user account information. In one of our 16-day datasets, we uncover 8.2 million hosts from botnets and 13,364 hosts from data centers submitting bot queries.