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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

Uncovering Time

Timestamps are stored in a wide variety of formats unique to the operating system or application responsible for their generation. In forensics, converting these timestamps can be an important aspect of an investigation.

As an example, we may aggregate converted timestamps and create a combined timeline of events to determine a sequence of actions across mediums. This evaluation of time can help us establish whether actions are within a defined scope and provide insights into the relationship between two events.

To decipher these formatted timestamps, we can use tools to interpret the raw values and convert them into human-readable time. Most forensic tools perform this operation silently as they parse known artifact structures (similarly to how our scripts often parse Unix timestamps).

In some cases, we don't have tools that properly or uniformly handle specific...

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