You're reading from Mastering Python for Networking and Security Leverage the scripts and libraries of Python version 3.7 and beyond to overcome networking and security issues

Product type Paperback

Published in Jan 2021

Last Updated in Feb 2025

Publisher Packt

ISBN-13 9781839217166

Length 538 pages

Edition 2nd Edition

Languages

Python

Tools

Tor

Concepts

Network Security

Author (1):

José Manuel Ortega

View More author details

Table of Contents (22) Chapters

Preface

1. Section 1: The Python Environment and System Programming Tools

2. Chapter 1: Working with Python Scripting FREE CHAPTER

3. Chapter 2: System Programming Packages

4. Section 2: Network Scripting and Extracting Information from the Tor Network with Python

5. Chapter 3: Socket Programming

6. Chapter 4: HTTP Programming

7. Chapter 5: Connecting to the Tor Network and Discovering Hidden Services

8. Section 3: Server Scripting and Port Scanning with Python

9. Chapter 6: Gathering Information from Servers

10. Chapter 7: Interacting with FTP, SFTP, and SSH Servers

11. Chapter 8: Working with Nmap Scanner

12. Section 4: Server Vulnerabilities and Security in Python Modules

13. Chapter 9: Interacting with Vulnerability Scanners

14. Chapter 10: Identifying Server Vulnerabilities in Web Applications

15. Chapter 11: Security and Vulnerabilities in Python Modules

16. Section 5: Python Forensics

17. Chapter 12: Python Tools for Forensics Analysis

18. Chapter 13: Extracting Geolocation and Metadata from Documents, Images, and Browsers

19. Chapter 14: Cryptography and Steganography

20. Assessments

21. Other Books You May Enjoy

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Identifying the technology used by a website

The type of technology used to build a website will affect the way information is recovered from the user navigation. To identify this information, you can make use of tools such as wappalyzer (https://www.wappalyzer.com) and builtwith (https://builtwith.com).

A useful tool to verify the type of technologies a website is built with is the BuiltWith module (https://pypi.org/project/builtwith), which can be installed with this command:

$ pip3 install builtwith

This module provides a method called parse, which is passed by the URL parameter and returns the technologies used by the website as a response.

In the following output, we can see the response for two websites:

>>> import builtwith
>>> builtwith.parse('http://wordpress.com')
{'web-servers': ['Nginx'], 'font-scripts': ['Google Font API'], 'ecommerce': ['WooCommerce'], 'cms&apos...