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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
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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

Summary

In this chapter, you learned how to parse a plain text file using Python. This process can be implemented for other log files, including those from firewalls, web servers, or other applications and services. Following these steps, we can identify repetitive data structures that lend themselves to scripts, process their data, and output results to the user. With our iterative build process, we implemented a test-then-code approach where we built a working prototype and then continually enhanced it into a viable and reliable forensic tool.

In addition to the text format we explored here, some files have a more concrete structure and are stored in a serialized format. Other files, such as HTML, XML, and JSON, file structure data in a manner that can be readily converted into a series of Python objects. The code for this project can be downloaded from GitHub or Packt, as described...

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