论文标题

Google Home的法医分析:修复压缩数据而无需纠正错误

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

论文作者

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

论文摘要

本文详细说明了用于提取和修复Google Home的内部数据所采取的步骤。从逆向工程开始的商业现成的Google Home的硬件开始,然后通过删除和倾倒闪存来提取内部数据。由于使用未公开的方法通过CPU执行误差校正,因此显示了一种新的替代方法来修复损坏的SqueShfs文件系统,假设每个GZIP压缩片段单个或双重弹片。最后,提出了一种使用三值逻辑来处理多个可能维修的新方法。

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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