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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

Frameworks

Why build a framework? The question could be, why develop a script at all? Frequently, we perform the same series of steps for a given piece of evidence. For example, we commonly prepare reports for LNK, prefetch, and jumplist files, examine registry keys, and establish external device and network activity to answer forensic questions. As we've seen, we can develop a script to parse these artifacts for us and display the data in a format that's conducive for rapid analysis. Why not write a series of scripts, each responsible for one artifact, and then control them with a singular script, to execute all at once and hence further automate our analysis?

A framework can be developed to run a series of scripts and parse multiple artifacts at once. The output of such a framework could be a series of analysis-ready spreadsheets. This allows the examiner to skip the...

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