Book Image

Python for Security and Networking - Third Edition

By : José Ortega
4 (3)
Book Image

Python for Security and Networking - Third Edition

4 (3)
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)
Section 1: Python Environment and System Programming Tools
Section 2: Network Scripting and Packet Sniffing with Python
Section 3: Server Scripting and Port Scanning with Python
Section 4: Server Vulnerabilities and Security in Web Applications
Section 5: Python Forensics
Assessments – Answers to the End-of-Chapter Questions
Other Books You May Enjoy

Managing threads in Python

  1. Threading is a programming technique that allows an application to simultaneously execute several operations in the same memory space allocated to the process. Each execution stream that originates during processing is called a thread and can perform one or more tasks.
  2. Threads allow our applications to execute multiple operations concurrently in the same process space. In Python, the threading module makes programming with threads possible. Among the possible states of a thread, we can highlight:
    • New, a thread that has not been started yet and no resources have been allocated.
    • Runnable, the thread is waiting to run.
    • Running, the thread is being executed.
    • Not-running, the thread has been paused because another thread took precedence over it or because the thread is waiting for a long-running I/O operation to complete.
    • Finished, the thread has finished its execution.