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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 FREE CHAPTER
2. Chapter 1: Introducing Offensive Security and Python 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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access control, in cloud environments 99

granular access permissions 99

IAM 99

multi-layered access control 99

principle of least privilege (PoLP) 99

programmatic access control mechanisms 100

access controls, cloud security 96

auditing 96

authentication 96

authorization 96

logging 96

active reconnaissance 12

Address Resolution Protocol (ARP) 28

Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) 15

Amazon Resource Name (ARN) 108

Amazon S3 97

Amazon Web Services (AWS) 97

anomalies

visualizing 201

anomaly detection 195, 196

challenges 197

clustering 197

machine learning models 196

statistical analysis 196

techniques 200

APIs 128, 129

components 128

integrating, with external data sources 157, 159...

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