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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

Additional challenges

For this project, we invite you to implement some improvements that will make our script more versatile. As mentioned earlier in the chapter, pypff currently doesn't natively support the extraction or direct interaction with attachments. We can, however, call the pffexport and pffinfo tools within our Python script to do so. We recommend looking at the subprocess module to accomplish this. To extend this further, how can we connect this with the code covered in previous chapter ? What type of data might become available once we have access to attachments?

Consider methods that would allow a user to provide filtering options to collect specific messages of interest rather than the entire PST. A library that may assist in providing additional configuration options to the user is ConfigParser and can be installed with pip.

Finally, another challenge would...

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