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With the success of Web applications, most of our data is now stored onvarious third-party servers where they are processed to deliver personalizedservices. Naturally we must be authenticated to access this personalinformation, but the use of personalized services only restricted byidentification could indirectly and silently leak sensitive data. We analyzedGoogle Web Search access mechanisms and found that the current policy appliedto session cookies could be used to retrieve users' personal data. We describean attack scheme leveraging the search personalization (based on the same SIDcookie) to retrieve a part of the victim's click history and even some of hercontacts. We implemented a proof of concept of this attack on Firefox andChrome Web browsers and conducted an experiment with ten volunteers. Thanks tothis prototype we were able to recover up to 80% of the user's search clickhistory.

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