Sometimes the evidence digital forensics experts need to crack a case can be hidden in the place they least expect. To locate, analyze and decode these hidden gems, the most powerful and surgical tools are needed, and there is no better tool than Cellebrite Physical Analyzer. With this solution, you can automatically decode artifacts from the most relevant sources of digital evidence using your own Python code.

Take advantage of Cellebrite’s full decoding infrastructure to:

  1. Build your own parsers and decode unsupported apps
  2. Perform analysis on data to get answers to questions relevant to your investigation
  3. Search your data using the most comprehensive and surgical methods

You will be able to work interactively with the Python shell to create your own code when an investigation demands deeper analysis. Additionally, you can automate your work by running Python scripts that you or your colleagues created.

Watch the video to hear more from Or Begam, R&D Team Leader for Decoding Research at Cellebrite.

If you want to experience this type of versatility but haven’t written a line of Python code, or you are an advanced Python coder and want to start scripting for Cellebrite Physical Analyzer right away, then do the following.

Review the Python shell scripting guide, available from the “Help” menu in Cellebrite Physical Analyzer or register for the Cellebrite Python Examiner training class and become a Python expert.

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