Book Image

Mastering Python for Networking and Security - Second Edition

By : José Ortega
Book Image

Mastering Python for Networking and Security - Second Edition

By: José Ortega

Overview of this book

It’s now more apparent than ever that security is a critical aspect of IT infrastructure, and that devastating data breaches can occur from simple network line hacks. As shown in this book, combining the latest version of Python with an increased focus on network security can help you to level up your defenses against cyber attacks and cyber threats. Python is being used for increasingly advanced tasks, with the latest update introducing new libraries and packages featured in the Python 3.7.4 recommended version. Moreover, most scripts are compatible with the latest versions of Python and can also be executed in a virtual environment. This book will guide you through using these updated packages to build a secure network with the help of Python scripting. You’ll cover a range of topics, from building a network to the procedures you need to follow to secure it. Starting by exploring different packages and libraries, you’ll learn about various ways to build a network and connect with the Tor network through Python scripting. You will also learn how to assess a network's vulnerabilities using Python security scripting. Later, you’ll learn how to achieve endpoint protection by leveraging Python packages, along with writing forensic scripts. By the end of this Python book, you’ll be able to use Python to build secure apps using cryptography and steganography techniques.
Table of Contents (22 chapters)
1
Section 1: The Python Environment and System Programming Tools
4
Section 2: Network Scripting and Extracting Information from the Tor Network with Python
8
Section 3: Server Scripting and Port Scanning with Python
12
Section 4: Server Vulnerabilities and Security in Python Modules
16
Section 5: Python Forensics

Volatility framework for extracting data from memory and disk images

Volatility is a framework designed to extract data from a disk image that is available in RAM memory. This tool is considered able to be run on any operating system that supports Python.

It has the capacity for working with memory dumps from 32-bit and 64-bit systems for Windows, as well as macOS, Linux, and Android operating systems. It has a modular design, so it is well adapted to new versions of the different systems.

Memory analysis can provide very valuable information since we can see the state of the machine at the time of capturing. This tool has the capacity to extract information related to existing network connections, processes, open files, connected users, and other information that will disappear when the system is restarted.

Among the main features that we can extract, we can highlight the following:

  • Processes that were running in the image generation datetime
  • Open network ports...