Book Image

Python for Security and Networking - Third Edition

By : José Ortega
4 (2)
Book Image

Python for Security and Networking - Third Edition

4 (2)
By: José Ortega

Overview of this book

Python’s latest updates add numerous libraries that can be used to perform critical security-related missions, including detecting vulnerabilities in web applications, taking care of attacks, and helping to build secure and robust networks that are resilient to them. This fully updated third edition will show you how to make the most of them and improve your security posture. The first part of this book will walk you through Python scripts and libraries that you’ll use throughout the book. Next, you’ll dive deep into the core networking tasks where you will learn how to check a network’s vulnerability using Python security scripting and understand how to check for vulnerabilities in your network – including tasks related to packet sniffing. You’ll also learn how to achieve endpoint protection by leveraging Python packages along with writing forensics scripts. The next part of the book will show you a variety of modern techniques, libraries, and frameworks from the Python ecosystem that will help you extract data from servers and analyze the security in web applications. You’ll take your first steps in extracting data from a domain using OSINT tools and using Python tools to perform forensics tasks. By the end of this book, you will be able to make the most of Python to test the security of your network and applications.
Table of Contents (23 chapters)
1
Section 1: Python Environment and System Programming Tools
4
Section 2: Network Scripting and Packet Sniffing with Python
8
Section 3: Server Scripting and Port Scanning with Python
12
Section 4: Server Vulnerabilities and Security in Web Applications
16
Section 5: Python Forensics
20
Assessments – Answers to the End-of-Chapter Questions
21
Other Books You May Enjoy
22
Index

Extracting Geolocation and Metadata from Documents, Images, and Browsers

Metadata consists of a series of tags that describe various information about a file. The information they store can vary widely depending on how the file was created and with what format, author, creation date, and operating system.

This chapter covers the main modules we have in Python for extracting information about a geolocation IP address, extracting metadata from images and documents, and identifying the web technology used by a website. Also, we will cover how to extract metadata for the Chrome and Firefox browsers and extract information related to downloads, cookies, and history data stored in the SQLite database.

This chapter will provide us with basic knowledge about different tools we’ll need to use to know the geolocation of a specific IP address and extract metadata from many resources, such as documents, images, and browsers.

The following topics will be covered in this chapter...