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)

Coming Full Circle

In this chapter, we will revisit the scripts we've built in the previous chapters to create a prototype forensic framework. This framework will accept an input directory, such as the root folder of a mounted image, and run our plugins against the files to return a series of spreadsheet reports for each plugin.

Up to this point, we've developed standalone scripts in each chapter, never building upon the work in the previous chapters. By developing a framework, we will illustrate how to bring these scripts together and execute them in one context.

In Chapter 8, The Media Age, we created a miniature framework for parsing various types of embedded metadata. We will borrow from that design and add object-oriented programming to it. Using classes simplifies our framework by creating an abstract object for plugins and writers.

Additionally, in our framework...