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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

Enhancing security, Python in serverless, and infrastructure as code (IaC)

Python demonstrates that it is both a powerful tool and a potential risk. Its versatility allows for strong defenses, but it also provides exploiters with a two-edged sword. When paired with serverless architectures and infrastructure as code (IaC), Python’s capabilities can be exploited for reinforcement or exploitation. Let’s look at the complexities of utilizing Python in these domains and how it might increase security or act as a gateway for harmful behavior.

Introducing serverless computing

Serverless computing, often misunderstood as no servers, actually refers to the abstraction of server management and infrastructure concerns from developers. It’s a cloud computing model where cloud providers dynamically manage the allocation of machine resources. Functions or applications run in response to events and are charged based on actual usage rather than provisioned capacity.

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