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arXiv · 2210.00856

A forensic analysis of the Google Home: repairing compressed data without error correction

Hadrien Barral·Georges-Axel Jaloyan·Fabien Thomas-Brans·Matthieu Regnery·Rémi Géraud-Stewart·Thibaut Heckmann·Thomas Souvignet·David Naccache
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Abstract

This paper provides a detailed explanation of the steps taken to extract and repair a Google Home's internal data. Starting with reverse engineering the hardware of a commercial off-the-shelf Google Home, internal data is then extracted by desoldering and dumping the flash memory. As error correction is performed by the CPU using an undisclosed method, a new alternative method is shown to repair a corrupted SquashFS filesystem, under the assumption of a single or double bitflip per gzip-compressed fragment. Finally, a new method to handle multiple possible repairs using three-valued logic is presented.

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Hadrien Barral, Georges-Axel Jaloyan, Fabien Thomas-Brans, Matthieu Regnery, Rémi Géraud-Stewart, Thibaut Heckmann, Thomas Souvignet, David Naccache. 2022-09-30. A forensic analysis of the Google Home: repairing compressed data without error correction. https://doi.org/10.1016/j.fsidi.2022.301437

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