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)

Rapidly Triaging Systems

In today's brave new world, where incidents have a way of rapidly ballooning out of control without a rapid and effective response, it is integral that DFIR professionals are able to query hosts for relevant information, such as the processes and services running on the system, to make informed investigative decisions to quickly contain the incident. While we can often collect this information on a forensic image of a machine, some of this information is volatile or it may be necessary to collect quickly rather than waiting for a forensic image to be created.

In this chapter, we develop a single script that is compatible with modern operating systems and, using various first- and third-party libraries, extract useful information about the system that the script is running on. With some modification, this script could be leveraged in an environment...