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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 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

Introduction to Office metadata

With the launch of Office 2007, Microsoft introduced a new proprietary format for their office products, such as .docx, .pptx, and .xlsx files. These documents are actually a zipped directory consisting of XML and binary files. These documents have a great deal of embedded metadata stored in the XML files within the document. The two XML files we'll look at are core.xml and app.xml, which store different types of metadata.

The core.xml file stores metadata related to the document such as author, the revision number, and who last modified the document. The app.xml file stores metadata that's more specific to the contents of the file. For example, Word documents store page, paragraph, line, word, and character counts, whereas a PowerPoint presentation stores information related to slides, hidden slides, and note count, among others.

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