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  • Book Overview & Buying Learning Python for Forensics
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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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Extracting Artifacts from Binary Files

Parsing binary data is an indispensable skill. Inevitably, we are tasked with analyzing artifacts that are unfamiliar or undocumented. This issue is compounded when the file of interest is a binary file. Rather than analyzing a text-like file, we often need to use our favorite hex editor to begin reverse engineering the file's internal binary structure. Reverse engineering the underlying logic of binary files is out of scope for this chapter. Instead, we will work with a binary object whose structure is already well-known. This will allow us to highlight how to use Python to parse these binary structures automatically once the internal structure is understood. In this chapter, we will examine the UserAssist registry key from the NTUSER.DAT registry hive.

This chapter illustrates how to extract Python objects from binary data and generate...

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