misp-taxonomies/doping-substances
Christian Studer 13951549f3
chg: [doping-substances] Handmade review of the taxonomy
2023-10-17 23:46:09 +02:00
..
Misp-logo.png add: [doping-substances] New taxonomy for doping substances 2023-10-16 17:46:39 +02:00
README.md add: [doping-substances] New taxonomy for doping substances 2023-10-16 17:46:39 +02:00
gen_taxonomy.py add: [doping-substances] New taxonomy for doping substances 2023-10-16 17:46:39 +02:00
machinetag.json chg: [doping-substances] Handmade review of the taxonomy 2023-10-17 23:46:09 +02:00

README.md

MISP_DopingSubstanceTaxonomy

This project aims to gather information about all the prohibited sports Doping Substances.

We collected all of the information on the WADA website.

To do that we have created a python script to scrap this website and generate a JSON file (Taxonomy).

This Taxonomy could be add in MISP to help sports organizations to fight against usage of doping substances.

MISP

logo

What is MISP ?

A threat intelligence platform for sharing, storing and correlating Indicators of Compromise of targeted attacks, threat intelligence, financial fraud information, vulnerability information or even counter-terrorism information. Discover how MISP is used today in multiple organisations. Not only to store, share, collaborate on cyber security indicators, malware analysis, but also to use the IoCs and information to detect and prevent attacks, frauds or threats against ICT infrastructures, organisations or people.

JSON Generation

In order to build the JSON file, we created a Python script which scrap the WADA (World Anti-Doping Agency) s prohibited list.

Thanks to BeautifulSoup, a useful library that helps a lot when it comes to scrap HTLM documents, the script is able to get all the list of doping substances.

The file is created with PyTaxonomies, a MISP library that help to create valid JSON file according to the MISP Platform.

Finally, the script generates all predicates (doping categories) and the entries associated (the doping substances themselves).

Installation

If you want to try it out yourself, you need to have both BeautifulSoup & PyTaxonomies installated.

Authors

DELUS Thibaut : https://github.com/WooZyhh

JACOB Lucas : https://github.com/Chaamoxs