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Basis Technology Blog

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Python Autopsy Module Tutorial #3: The Report Module

It’s time for the final Python tutorial in this series and just in time to give you a chance to write something for the OSDFCon Autopsy Module Competition. In our last two blog posts, we built Python Autopsy file ingest modules that analyzed the data sources as they were added to cases. In our third […]

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OSDFCon Autopsy Module Development Contest Results

As readers of this blog know, Autopsy was designed to be a digital forensics platform that other open source developers can build modules for. To help motivate other developers to write Autopsy modules, Basis Technology  created a module development challenge and we’re pleased to announce the winners. The ground rules were simple: Make something useful […]

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Free Autopsy Training For Law Enforcement

As we recently blogged about, we’re offering Autopsy Training on November 6 & 7 after the Open Source Digital Forensics Conference (OSDFCon) Autopsy is an easy to use tool and the course provides an overview of the features as well as details on what is happening behind the scenes so that you better understand the tool. Given the large number […]

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Autopsy Training following Open Source Digital Forensics Conference

Basis Technology is offering an Autopsy training class directly following the Open Source Digital Forensics Conference (http://OSDFCon.org) in Chantilly, VA.  This is part of an initial push to establish the premier training program for this powerful open source digital forensics tool. For those who have already downloaded and tried Autopsy (and there are over 13,000 people who have done so for […]

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Apache Solr Driven Keyword Searching in Autopsy

Keyword searching is a common and widely used investigation technique across all varieties of digital investigations. On the surface, it seems fairly straightforward – figure out what names, places, things, activities, applications, etc. you want to search for and perform the search. Simple right? What about misspellings? Or patterns of text versus an exact match? […]

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