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)

Creating our first script – unix_converter.py

Our first script will perform a common timestamp conversion that will prove useful throughout this book. Named unix_converter.py, this script converts Unix timestamps into a human readable date and time value. Unix timestamps are generally formatted as an integer representing the number of seconds since 1970-01-01 00:00:00.

On line one, we provide a brief description of our script to the users, allowing them to quickly understand the intentions and uses of the script. Following this are import statements on lines two through four. These imports likely look familiar, providing support (in order) for printing information in Python 2 and 3, interpreting timestamp data, and accessing information about the version of Python used. The sys library is then used on lines 6 through 12 to check what version of Python was used to call the...