RAM-ramming Rowhammer is back – to uniquely fingerprint devices
Centauri doesn't measure attributes of this sort. Rather it looks at contiguous 2MB chunks of memory addresses for a unique set of flipped bits.
Centauri is the first technique to demonstrate the extraction of unique and stable fingerprints on the largest scale using Rowhammer Centauri as prototyped involves running native code on the user's desktop, but the researchers believe it can be adapted to run from a web app in a browser. A few extra steps would be required: those trying to record memory fingerprints would have to infer the user's microarchitecture using Rowhammer.js and use the SMASH attack to create the necessary patterns to trigger bit flips. After that, Centauri could be applied.
Based on the observation that the distribution of bit flips in a 2MB chunk of memory is both highly unique and consistent, the researchers created their fingerprint by comparing the similarity of these distributions.
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