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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

Understanding the value of system information

Why bother with collecting system information, anyway? Not all investigations revolve around the user and what actions they took on the system, but, rather, what the system is like and how it is behaving. For example, in the previous section, we discussed how running processes and created services can be informative based on indicators of compromise for a given scenario. However, as DFIR professionals well know, sources for system information can also provide insight into user activity, such as what disks are currently attached to the machine or querying the event log for user logins.

In the first edition of this book, this chapter originally showcased a keylogger script that we developed, whose purpose was mainly to illustrate how to use operating system APIs. For the second edition, we elected to keep that focus intact, but apply...

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