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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Summary

In this chapter, we have analyzed tools such as Volatility Framework as a set of utilities whose objective is the extraction of information from a RAM memory, SQLite as an open source SQL database engine, PcapXray as a network forensic tool to visualize a packet capture in offline mode, and the logging module for debugging and registering information that the script is processing.

After practicing with the examples provided in this chapter, you will have acquired sufficient knowledge to automate tasks related to forensics, such as getting information from memory extraction, a SQLite database, the Windows registry, and others related to analyzing network capture files.

In the next chapter, we will explore programming packages and Python modules for extracting information relating to geolocation IP addresses, extracting metadata from images and documents, and identifying web technology used by a website.