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Hands-On Penetration Testing with Python

You're reading from   Hands-On Penetration Testing with Python Enhance your ethical hacking skills to build automated and intelligent systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788990820
Length 502 pages
Edition 1st Edition
Languages
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Author (1):
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Furqan Khan Furqan Khan
Author Profile Icon Furqan Khan
Furqan Khan
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Table of Contents (18) Chapters Close

Preface 1. Introduction to Python 2. Building Python Scripts FREE CHAPTER 3. Concept Handling 4. Advanced Python Modules 5. Vulnerability Scanner Python - Part 1 6. Vulnerability Scanner Python - Part 2 7. Machine Learning and Cybersecurity 8. Automating Web Application Scanning - Part 1 9. Automated Web Application Scanning - Part 2 10. Building a Custom Crawler 11. Reverse Engineering Linux Applications 12. Reverse Engineering Windows Applications 13. Exploit Development 14. Cyber Threat Intelligence 15. Other Wonders of Python 16. Assessments 17. Other Books You May Enjoy

Chapter 7, Machine Learning and Cybersecurity

  1. We can take a look at ExploitDB and see various associated vulnerabilities.
  2. Big-data infrastructure can be defined as the deployment of multiple computers to form a cluster that takes a file and processes it with parallel processing. Apache Hadoop is affected with multiple vulnerabilities and the same can be checked on ExploitDB.
  1. AI mimics the human brain and works as neurons do, whereas machine learning doesn't.
  2. Deep Exploit is one of the tools in offensive security community that uses ML, it makes best use both PT and ML domains.
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