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 1: Working with Python Scripting

Python is a simple-to-read-and-write, byte-compiled, object-oriented programming language. The language is perfect for security professionals because it allows for fast test development as well as reusable objects to be used in the future.

Throughout this chapter, we will explain data structures and collections such as lists, dictionaries, tuples, and iterators. We will review functions, exceptions management, and other modules, such as regular expressions, that we can use in our scripts. We will also learn how to manage dependencies and development environments to introduce into programming with Python. We will also review the principal development environments for script development in Python, including Python IDLE and PyCharm.

The following topics will be covered in this chapter: