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Learning Python for Forensics

Learning Python for Forensics - Second Edition

By : Preston Miller, Chapin Bryce
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Learning Python for Forensics

Learning Python for Forensics

By: Preston Miller, Chapin Bryce

Overview of this book

Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data. The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator.
Table of Contents (15 chapters)
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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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Learning Python for Forensics
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