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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

Summary

In this chapter, we discussed using ML with Python and how we can apply it to the cyber security domain. There are many other wonderful applications of data science and ML in the cyber security space related to log analysis, traffic monitoring, anomaly detection, data exfiltration, URL analysis, spam detection, and so on. Modern SIEM solutions are mostly built on top of machine learning, and a big data engine is used to reduce human analysis in monitoring. Refer to the further reading section to see the various other use cases of machine learning with cyber security. It must also be noted that it is important for pen testers to have an understanding of machine learning, in order to find vulnerabilities. In the next chapter, the user is going to understand how they can use Python to automate various web application attack categories, which include SQLI, XSS, CSRF, and...

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