You're reading from Python for Security and Networking Leverage Python modules and tools in securing your network and applications

Product type Paperback

Published in Jun 2023

Publisher Packt

ISBN-13 9781837637553

Length 586 pages

Edition 3rd Edition

Languages

Python

Concepts

Information Security

Author (1):

José Manuel Ortega

View More author details

Table of Contents (23) Chapters

Preface

1. Section 1: Python Environment and System Programming Tools

2. Working with Python Scripting FREE CHAPTER

3. System Programming Packages

4. Section 2: Network Scripting and Packet Sniffing with Python

5. Socket Programming

6. HTTP Programming and Web Authentication

7. Analyzing Network Traffic and Packet Sniffing

8. Section 3: Server Scripting and Port Scanning with Python

9. Gathering Information from Servers with OSINT Tools

10. Interacting with FTP, SFTP, and SSH Servers

11. Working with Nmap Scanner

12. Section 4: Server Vulnerabilities and Security in Web Applications

13. Interacting with Vulnerability Scanners

14. Interacting with Server Vulnerabilities in Web Applications

15. Obtain Information from Vulnerabilities Databases

16. Section 5: Python Forensics

17. Extracting Geolocation and Metadata from Documents, Images, and Browsers

18. Python Tools for Brute-Force Attacks

19. Cryptography and Code Obfuscation

20. Assessments – Answers to the End-of-Chapter Questions

21. Other Books You May Enjoy

22. Index

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 12.1: The 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 about the filename...