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Learning Python for Forensics

You're reading from   Learning Python for Forensics Learn the art of designing, developing, and deploying innovative forensic solutions through Python

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Product type Paperback
Published in May 2016
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781783285235
Length 488 pages
Edition 1st Edition
Languages
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Authors (2):
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 Miller Miller
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Miller
Chapin Bryce Chapin Bryce
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Table of Contents (18) 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. Did Someone Say Keylogger? 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle A. Installing Python B. Python Technical Details
C. Troubleshooting Exceptions Index

The UserAssist framework


Our UserAssist framework is made up of three scripts, userassist.py, csv_writer.py, and xlsx_writer.py. Userassist.py 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 given later. 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 on import:

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

Developing our UserAssist logic processor – userassist.py

The userassist.py script is responsible for handling user input, creating the log, and parsing UserAssist data from the NTUSER.DAT file. On lines 1 through 7, we import familiar and new modules to facilitate our tasks. The Registry and struct modules will grant us access to and then extract...

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