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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 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

Creating our first script – unix_converter.py

Our first script will perform a common timestamp conversion that will prove useful throughout this book. Named unix_converter.py, this script converts Unix timestamps into a human readable date and time value. Unix timestamps are generally formatted as an integer representing the number of seconds since 1970-01-01 00:00:00.

On line one, we provide a brief description of our script to the users, allowing them to quickly understand the intentions and uses of the script. Following this are import statements on lines two through four. These imports likely look familiar, providing support (in order) for printing information in Python 2 and 3, interpreting timestamp data, and accessing information about the version of Python used. The sys library is then used on lines 6 through 12 to check what version of Python was used to call the...

You have been reading a chapter from
Learning Python for Forensics - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781789341690
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