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Python for Security and Networking

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

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781837637553
Length 586 pages
Edition 3rd Edition
Languages
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Author (1):
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José Manuel Ortega José Manuel Ortega
Author Profile Icon José Manuel Ortega
José Manuel Ortega
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Table of Contents (23) Chapters Close

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 13.2 – 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...

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