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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

Extending tool capabilities with Python libraries and frameworks

In this section, we’ll explore how to extend the capabilities of custom security automation tools using Python libraries and frameworks. Python’s extensive ecosystem of libraries and frameworks provides developers with a wealth of resources to enhance the functionality, performance, and scalability of their automation tools. We’ll discuss key libraries and frameworks relevant to security automation and demonstrate their practical application through examples.

One of the most crucial aspects is the ability to efficiently process, analyze, and derive insights from large volumes of security data. This is where pandas, a powerful Python library for data manipulation and analysis, comes into play. pandas provides a rich set of tools and data structures that enable security professionals to effectively manage and analyze diverse datasets, ranging from security logs and incident reports to compliance...

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