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Python Penetration Testing Cookbook

Python Penetration Testing Cookbook

By : Rejah Rehim
3 (3)
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Python Penetration Testing Cookbook

Python Penetration Testing Cookbook

3 (3)
By: Rejah Rehim

Overview of this book

Penetration testing is the use of tools and code to attack a system in order to assess its vulnerabilities to external threats. Python allows pen testers to create their own tools. Since Python is a highly valued pen-testing language, there are many native libraries and Python bindings available specifically for pen-testing tasks. Python Penetration Testing Cookbook begins by teaching you how to extract information from web pages. You will learn how to build an intrusion detection system using network sniffing techniques. Next, you will find out how to scan your networks to ensure performance and quality, and how to carry out wireless pen testing on your network to avoid cyber attacks. After that, we’ll discuss the different kinds of network attack. Next, you’ll get to grips with designing your own torrent detection program. We’ll take you through common vulnerability scenarios and then cover buffer overflow exploitation so you can detect insecure coding. Finally, you’ll master PE code injection methods to safeguard your network.
Table of Contents (15 chapters)
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Extracting data from HTML documents

We can extract the parsed data to .csv or Excel format with the help of the pandas library.

Getting ready

To use the functions in the pandas module that export the parsed data to Excel, we require another dependent module openpyxl, so please make sure you install the openpyxl with pip:

pip install openpyxl  

How to do it...

We can extract the data from HTML to .csv or Excel documents as following:

  1. To create a .csv file, we can use the to_csv() method in pandas. We can rewrite the previous recipe as follows:
import urllib.request 
import...
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