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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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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
Author Profile Icon 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

The UserAssist framework

Our UserAssist framework is made up of three scripts, userassist_parser.py, csv_writer.py, and xlsx_writer.py. The userassist_parser.py script handles the bulk of the processing logic and then passes the results to the CSV or XLSX writer. The directory structure of our framework is shown as follows. Our writers are contained within a directory named Writers. Remember that for a directory to be searchable by Python, it needs to include the __init__.py file. This file may be empty, contain functions and classes, or contain code to be executed upon import:

  |-- userassist_parser.py 
  |-- Writers 
      |-- __init__.py 
      |-- csv_writer.py 
      |-- xlsx_writer.py 

Developing our UserAssist logic processor – userassist_parser.py

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