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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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Toc

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

Threat scoring

As we have discussed before, threat scoring forms a very important part of threat intelligence. There are usually millions of collected IOCs and they usually contain lots of false positives. If this information is directly fed to the SIEM tool, it will result in massive false positive alerts. In order to solve this problem, we have made an attempt to write an algorithm that works on top of the MISP-collected IOCs and associates a threat score to each. The idea is that an IOC with a score of five or more on a scale of 10 is more likely to be a genuinely malicious IOC and should be fed to the SIEM. The criteria of threat scoring on which this algorithm works is shown here:

  • Date: The date of the IOC is given 30% of the weight. If an IOC is one to three months old, it gets the entire 100% of the 30%, which is three points. If it's four months old, it gets 90%...
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