Book Image

Mastering Python for Networking and Security

By : José Ortega
Book Image

Mastering Python for Networking and Security

By: José Ortega

Overview of this book

It’s becoming more and more apparent that security is a critical aspect of IT infrastructure. A data breach is a major security incident, usually carried out by just hacking a simple network line. Increasing your network’s security helps step up your defenses against cyber attacks. Meanwhile, Python is being used for increasingly advanced tasks, with the latest update introducing many new packages. This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting. This book covers topics from building a network to the different procedures you need to follow to secure it. You’ll first be introduced to different packages and libraries, before moving on to different ways to build a network with the help of Python scripting. Later, you will learn how to check a network’s vulnerability using Python security scripting, and understand how to check vulnerabilities in your network. As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts. By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.
Table of Contents (16 chapters)

Extracting metadata from web browsers

In this section, we review how to extract metadata from web browsers, such as chrome and firefox.

Firefox Forensics in Python with dumpzilla

Dumpzilla is a very useful, versatile, and intuitive tool dedicated to forensic analysis in Mozilla browsers. Dumpzilla has the ability to extract all the relevant information from the Firefox, Iceweasel, and Seamonkey browsers for further analysis in order to offer clues about suffered attacks, passwords, and emails. It runs under Unix systems and windows 32/64 bits.

The application works under the command line and we can access a large volume of valuable information, among which we can find:

  • Cookies + DOM Storage (HTML 5)
  • User preferences (domain...