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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

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Product type Paperback
Published in May 2016
Last Updated in Feb 2025
Publisher Packt
ISBN-13 9781783285235
Length 488 pages
Edition 1st Edition
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Authors (2):
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 Miller Miller
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Miller
Chapin Bryce Chapin Bryce
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Table of Contents (18) 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. 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

Summary


In this chapter, we covered how to convert between machine- and human-readable timestamps and display that information in GUI. The primary goal of a forensic developer is to be capable of facilitating rapid design and deployment of tools that provide insight into investigations. However, in this chapter, we focused a bit more on the end user by spending a little extra time to build a nice interface for the user to operate and interact with. The code for this project can be downloaded from https://packtpub.com/books/content/support.

In the next chapter, we will learn how to create a keylogger by calling Windows-specific APIs. While, typically, we do not develop our own "hacking" tools, it is a useful exercise in identifying how the "suspect" can use Python to their advantage. It will also provide an opportunity to learn new Python libraries that are specific to the Windows operating system and are highly useful for all Python developers and not just those with ill intent.

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