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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

Proactive web security measures with Python

Python has developed as a versatile widely used programming language in the field of modern software development. Its ease of use, readability, and rich library support have made it a popular choice for developing web-based applications in a variety of industries. Python frameworks such as Django, Flask, and Pyramid have enabled developers to create dynamic and feature-rich web applications with speed and agility.

However, as Python web apps become more popular, there is a corresponding increase in the sophistication and diversity of attacks targeting these applications. Cybersecurity breaches can jeopardize valuable user data, interfere with corporate operations, and damage an organization’s brand. Python web applications become vulnerable to a variety of security vulnerabilities, including SQL injection, XSS, and cross-site request forgery (CSRF). The consequences of these vulnerabilities can be severe, demanding an effective...

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