Timing attacks in web applications have been known for over a decade. Recently, new attacks have been reported to exploit timing techniques to probe sensitive information from web applications. In this paper, we present a tool to detect timing-based probing attacks in web applications. The main idea of our approach is to monitor the browser behaviors and identify anomalous timing behaviors. We prototyped our approach in the Google Chrome browser, and demonstrated its effectiveness.
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