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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

Parsing Twitter tweets

Being in the offensive security domain, we might wonder why we need to parse Twitter tweets. This question is valid, as this use case is more suited to defensive security. It may help, however, to uncover a good amount of information if we are targeting a specific individual or a specific organization.

As mentioned earlier, Twitter-tweet-parsing can be used by cyber intelligence teams to see if any defamation or sensitive content has been posted under the organization's name. Let's take a look at the following example that explains Twitter tweet parsing. First, we need to install the Python module as follows:

pip3 install tweet_parser

Our example takes a Twitter feed as an input JSON file and parses all tweets to produce the output. Let's create a file called sample.py as shown:

Let's use a sample Twitter feed file called exp.json as...

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