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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

Regular expressions in Python

Regular expressions allow us to identify patterns of data by using generic search patterns. For example, searching for all possible phone numbers of the XXX-XXX-XXXX type appearing in a document can be easily accomplished by one regular expression. We're going to create a regular expression module that will run a set of default expressions or a user-supplied expression against the processed WAL data. The purpose of the default expressions will be to identify relevant forensic information such as URLs or Personally Identifiable Information (PII).

While this section is not a primer on regular expression by any means, we'll briefly touch on the basics so that we can understand its advantages and the regular expressions used in the code. In Python, we use the re module to run regular expressions against strings. First, we must compile the regular...

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