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Offensive Security Using Python

You're reading from   Offensive Security Using Python A hands-on guide to offensive tactics and threat mitigation using practical strategies

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835468166
Length 248 pages
Edition 1st Edition
Languages
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Authors (2):
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Rejah Rehim Rejah Rehim
Author Profile Icon Rejah Rehim
Rejah Rehim
Manindar Mohan Manindar Mohan
Author Profile Icon Manindar Mohan
Manindar Mohan
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1:Python for Offensive Security
2. Chapter 1: Introducing Offensive Security and Python FREE CHAPTER 3. Chapter 2: Python for Security Professionals – Beyond the Basics 4. Part 2: Python in Offensive Web Security
5. Chapter 3: An Introduction to Web Security with Python 6. Chapter 4: Exploiting Web Vulnerabilities Using Python 7. Chapter 5: Cloud Espionage – Python for Cloud Offensive Security 8. Part 3: Python Automation for Advanced Security Tasks
9. Chapter 6: Building Automated Security Pipelines with Python Using Third-Party Tools 10. Chapter 7: Creating Custom Security Automation Tools with Python 11. Part 4: Python Defense Strategies for Robust Security
12. Chapter 8: Secure Coding Practices with Python 13. Chapter 9: Python-Based Threat Detection and Incident Response 14. Index 15. Other Books You May Enjoy

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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