Book Image

Learning Python for Forensics - Second Edition

By : Preston Miller, Chapin Bryce
Book Image

Learning Python for Forensics - Second Edition

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)

The Metadata_Parser framework overview

Now that we understand the concept of frameworks and what kind of data we're dealing with, we can examine the specifics of our framework implementation. Rather than a flow diagram, we use a high-level diagram to show how the scripts interact with each other:

This framework is going to be controlled by the metadata_parser.py script. This script will be responsible for launching our three plugin scripts and then shuttling the returned data to the appropriate writer plugins. During processing, the plugins make calls to processors to help validate data or perform other processing functions. We have two writer plugins, one for CSV output and another to plot geotagged data using Google Earth's KML format.

Each plugin will take an individual file as its input and store the parsed metadata tags in a dictionary. This dictionary is then...