
This is a Web Scraping application built on Flask. This web application utilizes Pastebin Scraping API and scrapes IOCs including IP addresses, domains, hashes, and emails from the latest pastes of Pastebin. It uses Elasticsearch as the database to store the pastes and Kibana is used for visualizing data from Elasticsearch.
Prerequisites
- Python
- Flask
- Requests
- Elasticsearch 5.6
- BeautifulSoup
- Kibana
Usage
- Enter your Pastebing Scraping API key and Flask secret key in the code
- Run the
PastebinScrapy.py
file - Open
127.0.0.1:5000
in any browser - Open
127.0.0.1:5601
in any browser to see the Kibana dashboard
Screenshots
Author

- Hakin9 is a monthly magazine dedicated to hacking and cybersecurity. In every edition, we try to focus on different approaches to show various techniques - defensive and offensive. This knowledge will help you understand how most popular attacks are performed and how to protect your data from them. Our tutorials, case studies and online courses will prepare you for the upcoming, potential threats in the cyber security world. We collaborate with many individuals and universities and public institutions, but also with companies such as Xento Systems, CATO Networks, EY, CIPHER Intelligence LAB, redBorder, TSG, and others.
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