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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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Chapin Bryce
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Table of Contents (15) Chapters Close

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. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

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. As an example, 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, later in this...

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