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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

Challenge

For this chapter, we propose adding support for the Windows XP format of the setupapi.log. The user can supply a switch at the command line to indicate which type of log will be processed. For a more difficult task, our script could automatically identify the type of log file by fingerprinting unique structures found only in Windows XP versus the Windows 7 version.

Improving the deduplication process we used in this chapter would be a welcome addition. As we identified, some entries have UID values embedded in the device entry. This value is generally assigned by the manufacturer and could be used to deduplicate the entries. As you may note in the output, the UID can contain extra ampersand characters that may or may not be crucial to the UID structure and suggest their source. By applying some simple logic, possibly in a new function, we can improve deduplication based...

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