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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 Hardcover
Published in Jan 2019
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 1st Edition
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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 (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

Parsing Outlook PST Containers

Electronic mail (email) continues to be one of the most common methods of communication in the workplace, surviving the number of new communication services present in today's world. Emails can be sent from computers, websites, and the phones that're in so many pockets across the globe. This medium allows for the transmission of information in the form of text, HTML, attachments, and more in a reliable fashion. It's no wonder, then, that emails can play a large part in investigations, especially for cases involving the workplace. In this chapter, we're going to work with a common email format, Personal Storage Table (PST), used by Microsoft Outlook to store email content in a single file.

The script we'll develop in this chapter introduces us to a series of operations available through the libpff library developed by Joachim...

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