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Offensive Security Using Python

Offensive Security Using Python

By : Rejah Rehim, Manindar Mohan
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Offensive Security Using Python

Offensive Security Using Python

5 (4)
By: Rejah Rehim, Manindar Mohan

Overview of this book

Offensive Security Using Python is your go-to manual for mastering the quick-paced field of offensive security. This book is packed with valuable insights, real-world examples, and hands-on activities to help you leverage Python to navigate the complicated world of web security, exploit vulnerabilities, and automate challenging security tasks. From detecting vulnerabilities to exploiting them with cutting-edge Python techniques, you’ll gain practical insights into web security, along with guidance on how to use automation to improve the accuracy and effectiveness of your security activities. You’ll also learn how to design personalized security automation tools. While offensive security is a great way to stay ahead of emerging threats, defensive security plays an equal role in protecting organizations from cyberattacks. In this book, you’ll get to grips with Python secure coding techniques to improve your ability to recognize dangers quickly and take appropriate action. As you progress, you’ll be well on your way to handling the contemporary challenges in the field of cybersecurity using Python, as well as protecting your digital environment from growing attacks. By the end of this book, you’ll have a solid understanding of sophisticated offensive security methods and be able to stay ahead in the constantly evolving cybersecurity space.
Table of Contents (16 chapters)
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1
Part 1:Python for Offensive Security
4
Part 2: Python in Offensive Web Security
8
Part 3: Python Automation for Advanced Security Tasks
11
Part 4: Python Defense Strategies for Robust Security

Advanced Python features

We can combine our library created in the earlier section into our network mapping tool and transform our code, which does a network scan and a port scan of the discovered IP addresses. Let us keep it there and talk about some more advanced Python features, starting with decorators.

Decorators

Decorators are a powerful aspect of Python’s syntax, allowing you to modify or enhance the behavior of functions or methods without changing their source code.

For an improved understanding of Python decorators, we will delve into the examination of the following code:

1. def timing_decorator(func):
2.     def wrapper(*args, **kwargs):
3.         start_time = time.time()  # Record the start time
4.         result = func(*args, **kwargs)  # Call the original function
5.        ...

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