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

Publisher Packt

ISBN-13 9781839217166

Length 538 pages

Edition 2nd Edition

Languages

Python

Tools

Tor

Concepts

Network Security

Author (1):

José Manuel Ortega

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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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Exploring security in Python modules

In this section, we will cover security in Python modules, reviewing Python functions and modules that developers can use and that could result in security issues.

Python functions with security issues

We will begin by reviewing the security of Python modules and components, where we can highlight the eval, pickle, subprocess, os, and yaml modules.

The idea is to explore some Python functions and modules that can create security issues. For each one, we will study the security and explore alternatives to these modules.

For example, Python modules such as pickle and sub-process can only be used bearing in mind security and the problems that can appear as a result of their use.

Usually, Python's documentation includes a warning regarding the risks of a module from the security point of view, which looks something like this:

Figure 11.1 – Python module warning related to a security issue

The following...