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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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