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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

Parsing Text Files

Text files, usually sourced from application or service logs, are common sources for artifacts in digital investigations. Log files can be quite large or contain data that makes human review difficult. A manual examination can devolve into a series of grep searches, which may or may not be fruitful; additionally, prebuilt tools may not have support for a specific log file format. For these instances, we will need to develop our own solution to properly parse and extract the relevant information. In this chapter, we will analyze the setupapi.dev.log file, which records device information on Windows machines. This log file is commonly examined, as it can extract the first connection time of USB devices on the system.

We will step through several iterations of the same code through this chapter. Though redundant, we encourage writing out each iteration for yourself...

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