Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788990820
Length 502 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Furqan Khan Furqan Khan
Author Profile Icon Furqan Khan
Furqan Khan
Arrow right icon
View More author details
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

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image