Book Image

Mastering Python for Networking and Security

By : José Ortega
Book Image

Mastering Python for Networking and Security

By: José Ortega

Overview of this book

It’s becoming more and more apparent that security is a critical aspect of IT infrastructure. A data breach is a major security incident, usually carried out by just hacking a simple network line. Increasing your network’s security helps step up your defenses against cyber attacks. Meanwhile, Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting. This book covers topics from building a network to the different procedures you need to follow to secure it. You’ll first be introduced to different packages and libraries, before moving on to different ways to build a network with the help of Python scripting. Later, you will learn how to check a network’s vulnerability using Python security scripting, and understand how to check vulnerabilities in your network. As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts. By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.
Table of Contents (16 chapters)

Introduction to gathering information

The process of collecting information can be automated using both modules that are installed by default in the Python distribution and external modules that are installed in a simple way. Some of the modules that we will see allow us to extract information from servers and services that are running information such as domain names and banners.

There are many ways to gather information from servers:

  • We can use Shodan to extract information from public servers
  • We can use the socket module to extract banner information from public and private servers
  • We can use the DNSPython module to extract information from DNS servers
  • We can use the pywebfuzz module to obtain possible vulnerabilities