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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Chapter 11: Security and Vulnerabilities in Python Modules

Python is a language that allows us to scale up from start up projects to complex data processing applications and support dynamic web pages in a simple way. However, as you increase the complexity of your applications, the introduction of potential problems and vulnerabilities can be critical in your application from the security point of view.

This chapter covers security and vulnerabilities in Python modules. I'll review the main security problems we can find in Python functions, and how to prevent them, along with the tools and services that help you to recognize security bugs in source code. We will review Python tools such as Bandit as a static code analyzer for detecting vulnerabilities, and Python best practices from a security point of view. We will also learn about security in Python web applications with the Flask framework. Finally, we will learn about Python security best practices.

The following topics...