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Mastering Python for Networking and Security

Mastering Python for Networking and Security

By : José Manuel Ortega
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Mastering Python for Networking and Security

Mastering Python for Networking and Security

3 (2)
By: José Manuel 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)
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Identifying the technology used by a website

In this section, we review how to identify the technology used by a website with builtwith and Wappalyzer.

Introduction to the builtwith module

The type of technology used to build a website will affect the way you track it. To identify this information, you can make use of tools such as Wappalyzer and Builtwith (https://builtwith.com). A useful tool to verify the type of technologies a website is built with the module is builtWith, which can be installed with:

pip install builtwith

This module has a method called parse, which is passed by the URL parameter and returns as a response the technologies used by the website. Here is an example:

>>> import builtwith
>>...

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