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  • Book Overview & Buying Learning Python for Forensics
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Learning Python for Forensics

Learning Python for Forensics

By : Preston Miller, Chapin Bryce
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Learning Python for Forensics

Learning Python for Forensics

5 (4)
By: Preston Miller, Chapin Bryce

Overview of this book

This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer. Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner.
Table of Contents (18 chapters)
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15
B. Python Technical Details
17
Index

Executing wal_crawler.py


Now that we've written the script, it is time to actually run it. The simplest way of doing so is to supply the input WAL file and output directory.

Optionally, we can use the -m or -r switches to engage the regular expression module. The following screenshot shows an example of what the regular expression output looks like.

Note

Note that when supplying a custom regular expression to run with the -r switch, surround the expression with double quotes. If you fail to do so, you might encounter an error due to havoc wreaked by the special characters in the regular expression.

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Learning Python for Forensics
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