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Can I read ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads on EtoBox?

ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads by Junjie Zhang; Christian Seifert; Jack W. Stokes; Wenke Lee is a scholarly article available to read on EtoBox.

What is ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads about?

A drive-by download attack occurs when a user visits a webpage which attempts to automatically download malware without the user's consent. Attackers sometimes use a malware distribution network (MDN) to manage a large number of malicious webpages, exploits, and malware executables. In this paper, we provide a new method to determine these MDNs from the secondary URLs and redirect chains recorded by a high-interaction client honeypot. In addition, we propose a novel drive-by download detection method. Instead of depending on the malicious content used by previous methods, our algorithm first identifies and then leverages the URLs of the MDN's central servers, where a central server is a common server shared by a large percentage of the drive-by download attacks in the same MDN. A set of regular expression-based signatures are then generated based on the URLs of each central server. This method allows additional malicious webpages to be identified which launched but failed to execute a successful drive-by download attack. The new drive-by detection system named AR-ROW has been implemented, and we provide a large-scale evaluation on the output of a production drive-by detection syste

Author
Junjie Zhang; Christian Seifert; Jack W. Stokes; Wenke Lee
Publisher
ACM
Published
2011
Language
EN

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