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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

Mastering our final iteration – bitcoin_address_lookup.py

In the final iteration, we'll write the output of our script to a CSV file rather than the console. This allows examiners to quickly filter and sort data in a manner conducive to analysis.

On line 4, we've imported the csv module that's a part of the standard library. Writing to a CSV file is fairly simple compared with other output formats, and most examiners are very comfortable with manipulating spreadsheets.

As mentioned previously in this chapter, in this final iteration of our script, we've added the necessary logic to detect whether Python 2 or Python 3 is being used to call the script. Depending on the version of Python, the appropriate urllib or urllib2 functions are imported into this script. Note that we directly import the function, urlopen(), and URLError, which we plan to use so...

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