A Brief History of Autopsy and The Sleuthkit

2000: Dan Farmer and Wietse Venema release the first version of The Coroner’s Toolkit (TCT)

TCT is a collection…

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2001: Brian Carrier develops TCTUTILs as an add-on to TCT, and releases Autopsy 1.00

TCTUTILs provides tools that list the file and directory…

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2002: The @stake Sleuth Kit (TASK) is released

TASK’s goal is to provide the investigator with all data in the file system….

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2003: TASK becomes simply, The Sleuth Kit (TSK)

TSK, as an open source library that enables the analysis of…

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2004: Autopsy 2 is released with an old-school HTML interface

Written in Perl, Autopsy runs on UNIX-based and Mac OSX platforms.

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2012: Autopsy 3 is released as an extensible end-to-end digital forensics platform

Supported by Basis Technology and written…

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2015: Autopsy 4 is released with enhancements that allow for user collaboration

Autopsy 4 is released with…

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Autopsy® and The Sleuthkit®

Developed as the graphical interface for The Sleuth Kit® (TSK), Autopsy® makes file system image analysis easier without sacrificing the benefits of open source software.

For researchers and investigators who want to understand Autopsy’s processes, TSK remains available both as the library integrated with Autopsy, and via command line or shell scripts.

Obtain further information about TSK and Autopsy’s major features at: www.sleuthkit.org

About Basis Technology

Basis Technology develops innovative products and solutions incorporating multilingual text analytics and digital forensics. Our digital forensics team pioneers better, faster, and cheaper techniques to extract digital evidence, keeping companies, government, and law enforcement ahead of exponential growth of data storage volumes. Basis Technology is the primary contributor to the popular Autopsy open source digital forensics tool, which has 30,000+ downloads for each release and was designed to be an extensible platform.

Basis Technology was founded in 1995 and also has a text analytics group that extracts meaningful intelligence from unstructured multilingual text. The text analytics products have been used by more than 250 major firms, including Amazon, EMC, Oracle, Dassault, Fujitsu, Google, Airbnb, Microsoft, Pinterest, and governments around the world.