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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

Coming Full Circle

In this chapter, we will revisit the scripts we've built in the previous chapters to create a prototype forensic framework. This framework will accept an input directory, such as the root folder of a mounted image, and run our plugins against the files to return a series of spreadsheet reports for each plugin.

Up to this point, we've developed standalone scripts in each chapter, never building upon the work in the previous chapters. By developing a framework, we will illustrate how to bring these scripts together and execute them in one context.

In Chapter 8, The Media Age, we created a miniature framework for parsing various types of embedded metadata. We will borrow from that design and add object-oriented programming to it. Using classes simplifies our framework by creating an abstract object for plugins and writers.

Additionally, in our framework...

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