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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

The Media Age

Metadata, or data describing data, is a powerful artifact an examiner can leverage to answer investigative questions. Broadly speaking, metadata can be found through examination of filesystems and embedded elements. File permissions, MAC timestamps, and file size are recorded at the filesystem level. However, for specific file types, such as JPEGs, additional metadata is embedded within the file itself.

Embedded metadata is more specific to the object in question. This embedded metadata can provide additional sources of timestamps, the author of a particular document, or even GPS coordinates for a photo. Entire software applications, such as Phil Harvey's ExifTool, exist to extract embedded metadata from files and collate it with filesystem metadata.

This chapter will cover the following topics:

  • Using first- and third-party libraries to extract metadata from...
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