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

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

Leave a review - let other readers know what you think

Extracting metadata from web browsers

In the following section, we are going to analyze how to extract metadata such as downloads, history, and cookies from the Chrome and Firefox web browsers.

Firefox forensics with Python

Firefox stores browser data in SQLite databases whose location depends on the operating system. For example, in the Linux operating system, this data is located at /home/<user>/.mozilla/Firefox/.

For example, in the places.sqlite file, we can find the database that contains the browsing history and it can be examined using any SQLite browser.

In the following screenshot, we can see the SQLite browser with the tables available in the places.sqlite database:

Figure 13.2 – places.sqlite database

We could build a Python script that extracts information from the moz_downloads, moz_cookies, and moz_historyvisits tables. We are getting downloads from the moz_downloads table and for each result we print information...