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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
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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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

Our second iteration – setupapi_parser_v2.py

With a functioning prototype, we now have some cleanup work to do. The first iteration was a proof of concept to illustrate how a setupapi.dev.log file can be parsed for forensic artifacts. With our second revision, we will clean up and restructure the code so that it will be easier to use in the future. In addition, we will integrate a more robust command-line interface, validate any user-supplied inputs, improve processing efficiency, and display any results in a better format.

On lines 2 through 6, we import the libraries that we will need for these improvements, alongside familiar cross-version support libraries. argparse is a library that we discussed at length in Chapter 2, Python Fundamentals, and is used to implement and structure arguments from the user. Next, we import os, a library we will use in this script to check...

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