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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
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Concepts
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Authors (2):
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Preston Miller Preston Miller
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Preston Miller
Chapin Bryce Chapin Bryce
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Table of Contents (15) Chapters Close

Preface 1. Now for Something Completely Different FREE CHAPTER 2. Python Fundamentals 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

Additional challenges

You've created a script that implements the spamsum algorithm to generate ssdeep compatible hashes! With this, there are a few additional challenges to pursue.

First, we're providing six sample files, found in the previously mentioned test_data/ directory. These files are available to confirm you're getting the same hashes as those printed and to allow you to perform some additional testing. The file_1, file_2, and file_3 files are our originals, whereas the instances with an appended a are a modified version of the original. The accompanying README.md file contains a description of the alterations we performed, though in short, we have the following:

  • file_1 with a relocation of some file content to a later portion of the file
  • file_2 with an insertion in the early portion of the file
  • file_3 with a removal of the start of the file

We encourage...

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