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)

About timestamps

Timestamp formats often boil down to two components: a reference point and a convention or algorithm used to represent the amount of time that has passed from the said reference point. Documentation exists for most timestamps and can help us to determine the best means to convert raw time data into a human-readable timestamp.

As mentioned in the introduction, there is a wide array of timestamp formats, some of which we've already encountered, such as Unix time and Windows FILETIME. This makes the conversion process more difficult as the forensic scripts we develop may need to be prepared to process multiple time formats.

Python has several standard libraries bundled in the distribution that can help us convert timestamps. We've used the datetime module before to properly handle time values and store them within a Python object. We'll introduce...