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Python Penetration Testing Cookbook

You're reading from   Python Penetration Testing Cookbook Practical recipes on implementing information gathering, network security, intrusion detection, and post-exploitation

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781784399771
Length 226 pages
Edition 1st Edition
Languages
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Author (1):
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Rejah Rehim Rejah Rehim
Author Profile Icon Rejah Rehim
Rejah Rehim
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Table of Contents (15) Chapters Close

Preface 1. Why Python in Penetration Testing? FREE CHAPTER 2. Setting Up a Python Environment 3. Web Scraping with Python 4. Data Parsing with Python 5. Web Scraping with Scrapy and BeautifulSoup 6. Network Scanning with Python 7. Network Sniffing with Python 8. Scapy Basics 9. Wi-Fi Sniffing 10. Layer 2 Attacks 11. TCP/IP Attacks 12. Introduction to Exploit Development 13. Windows Exploit Development 14. Linux Exploit Development

Parsing HTML tables

After downloading the HTML pages from the server, we have to extract the required data from them. There are many modules in Python to help with this. Here we can make use of the Python package BeautifulSoup.

Getting ready

As usual, make sure that you install all the required packages. For this script, we require BeautifulSoup and pandas. You can install them with pip:

pip install bs4 
pip install pandas  

pandas is an open source data analysis library in Python.

How to do it...

We can parse HTML tables from the downloaded pages as following:

  1. As usual...
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