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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
Languages
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

Exploring the framework – framework.py

Our framework takes some input directory, recursively indexes all of its files, runs a series of plugins to identify forensic artifacts, and then writes a series of reports into a specified output directory. The idea is that the examiner could mount a .E01 or .dd file using a tool such as FTK Imager and then run the framework against the mounted directory.

The layout of a framework is an important first step in achieving a simplistic design. We recommend placing writers and plugins in appropriately labeled subdirectories under the framework controller. Our framework is laid out in the following manner:

  |-- framework.py 
|-- requirements.txt
|-- plugins
|-- __init__.py
|-- exif.py
|-- id3.py
|-- office.py
|-- pst_indexer.py
|-- setupapi.py
|-- userassist.py
|-- wal_crawler.py
...
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