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Hands-On Penetration Testing with Python

You're reading from   Hands-On Penetration Testing with Python Enhance your ethical hacking skills to build automated and intelligent systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788990820
Length 502 pages
Edition 1st Edition
Languages
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Author (1):
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Furqan Khan Furqan Khan
Author Profile Icon Furqan Khan
Furqan Khan
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Table of Contents (18) Chapters Close

Preface 1. Introduction to Python 2. Building Python Scripts FREE CHAPTER 3. Concept Handling 4. Advanced Python Modules 5. Vulnerability Scanner Python - Part 1 6. Vulnerability Scanner Python - Part 2 7. Machine Learning and Cybersecurity 8. Automating Web Application Scanning - Part 1 9. Automated Web Application Scanning - Part 2 10. Building a Custom Crawler 11. Reverse Engineering Linux Applications 12. Reverse Engineering Windows Applications 13. Exploit Development 14. Cyber Threat Intelligence 15. Other Wonders of Python 16. Assessments 17. Other Books You May Enjoy

Regular expressions in Python

Regular expressions are very powerful and are widely used for pattern matching in the cyber security domain, be it dealing with parsing log files, Qualys or Nessus reports, or outputs produced by Metasploit, NSE or any other service scanning or exploit script. The module that provides support for regular expressions in Python is re. There are a few important methods that we will be using with Python regular expressions (the re module), which are explained as follows:

match()

This determines if the regular expression finds a match at the beginning of the string re.match(pattern,string,Flag=0). The flags can be specified with the | or operator. The most commonly used flags are re.Ignore-Case, re.Multiline, and re.DOTALL. These flags can be specified with the or operator as (re.M| re.I).

search()

Unlike match, search doesn't look for...

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