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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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Concepts
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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 2. Python Fundamentals FREE CHAPTER 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

As always, we challenge you to add new features to this script and extend it using the knowledge and available resources that you have. For this chapter, we first challenge you to hash the indexed files using MD5 or SHA1 and store that information in the database. You can use the built-in hashlib library to handle hashing operations; more on this and other hashing techniques in Chapter 7, Fuzzy Hashing.

In addition, consider adding user-specified filters for particular file extensions for the collection. These features can be implemented without major renovation to the code, though you may find it easiest and more beneficial to your understanding to start from scratch and build the script with one or more of these new features in mind.

One more extension that we can add to our code is parsing the file's modes into separate columns for ease of querying in our database...

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