Book Image

Python Penetration Testing Cookbook

By : Rejah Rehim
Book Image

Python Penetration Testing Cookbook

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)

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...