| Publisher | University of Washington | ||
|---|---|---|---|
| Format | 608.9KB PDF | Date added | 14 May 2007 |
| Topics | Web Content Management, Network Security, Spyware | ||
| Downloads | 36 | ||
This paper explores the use of execution-based Web content analysis to protect users from Internet-borne malware. Many anti-malware tools use signatures to identify malware infections on a user's PC. In contrast, the authors approach is to render and observe active Web content in a disposable virtual machine before it reaches the user's browser, identifying and blocking pages whose behavior is suspicious. Execution-based analysis can defend against undiscovered threats and zero-day attacks. However, the authors approach faces challenges, such as achieving good interactive performance, and limitations, such as defending against malicious Web content that contains non-determinism.
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