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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

Extracting Artifacts from Binary Files

Parsing binary data is an indispensable skill. Inevitably, we are tasked with analyzing artifacts that are unfamiliar or undocumented. This issue is compounded when the file of interest is a binary file. Rather than analyzing a text-like file, we often need to use our favorite hex editor to begin reverse engineering the file's internal binary structure. Reverse engineering the underlying logic of binary files is out of scope for this chapter. Instead, we will work with a binary object whose structure is already well-known. This will allow us to highlight how to use Python to parse these binary structures automatically once the internal structure is understood. In this chapter, we will examine the UserAssist registry key from the NTUSER.DAT registry hive.

This chapter illustrates how to extract Python objects from binary data and generate...

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