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Learning Python for Forensics

You're reading from Learning Python for Forensics Learn the art of designing, developing, and deploying innovative forensic solutions through Python

Product type Paperback

Published in May 2016

Last Updated in Feb 2025

Publisher Packt

ISBN-13 9781783285235

Length 488 pages

Edition 1st Edition

Languages

Python

Concepts

Forensics

Authors (2):

Miller

Chapin Bryce

View More author details

Table of Contents (18) Chapters

Preface

1. Now For Something Completely Different FREE CHAPTER

2. Python Fundamentals

3. Parsing Text Files

4. Working with Serialized Data Structures

5. Databases in Python

6. Extracting Artifacts from Binary Files

7. Fuzzy Hashing

8. The Media Age

9. Uncovering Time

10. Did Someone Say Keylogger?

11. Parsing Outlook PST Containers

12. Recovering Transient Database Records

13. Coming Full Circle

A. Installing Python

B. Python Technical Details

C. Troubleshooting Exceptions

Index

UserAssist

The UserAssist artifact identifies graphical user interface, GUI, application execution on Windows machines. This artifact stores differing amounts of information depending on the version of Windows OS. To identify the data specific to certain applications, we have to decode the registry key name as it is stored as the ROT13-encoded path and name of the application. The UserAssist value data for Windows XP and Vista is 16 bytes in length, and it stores the following:

The last execution time in UTC (in FILETIME format)
Execution count
Session ID

The last execution time information is stored as a Windows FILETIME object. This is another common representation of time that differs from the UNIX timestamps we've seen in previous chapters. We will show how this timestamp can be interpreted within Python and displayed as human readable through this chapter. The execution count represents the number of times the application has been launched.

Windows 7 and higher store even more data than...

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Authors (2)

Miller

Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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Chapin Bryce

Chapin Bryce

Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine.

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