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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

Additional challenges

We had difficulties deciding between two main challenges for this chapter. We could add additional plugins or refine what currently exists. In actual development, your time would be spent balancing these two objectives as the framework continues to grow. For this chapter, we propose a recursive-based challenge.

Remember that, while explaining the post Office 2007 format of documents, we determined that attached media is stored in the media subdirectory of the document. In its current incarnation, when an Office document is encountered, that media subdirectory, which might have copies of files containing embedded metadata themselves, isn't processed. The challenge here is to add the newly discovered files to the current file listing.

We might do that by returning a list of newly discovered files back to metadata_parser.py. Another route might be to check...

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