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Python Digital Forensics Cookbook

Python Digital Forensics Cookbook

By : Chapin Bryce, Miller
5 (2)
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Python Digital Forensics Cookbook

Python Digital Forensics Cookbook

5 (2)
By: Chapin Bryce, Miller

Overview of this book

Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations.
Table of Contents (11 chapters)
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Working with Forensic Evidence Container Recipes

In this chapter, we will cover the following recipes:

  • Opening acquisitions
  • Gathering acquisition and media information
  • Iterating through files
  • Processing files within the container
  • Searching for hashes
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