45 lines
1.8 KiB
Markdown
45 lines
1.8 KiB
Markdown
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# MISP_DopingSubstanceTaxonomy
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This project aims to gather information about all the prohibited sports Doping Substances.
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We collected all of the information on the [WADA website](https://www.wada-ama.org/en/prohibited-list).
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To do that we have created a python script to scrap this website and generate a JSON file (Taxonomy).
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This Taxonomy could be add in MISP to help sports organizations to fight against usage of doping substances.
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## MISP
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What is MISP ?
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>A threat intelligence platform for sharing, storing and correlating
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Indicators of Compromise of targeted attacks, threat intelligence,
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financial fraud information, vulnerability information or even
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counter-terrorism information. Discover how MISP is used today in
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multiple organisations. Not only to store, share, collaborate on cyber
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security indicators, malware analysis, but also to use the IoCs and
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information to detect and prevent attacks, frauds or threats against ICT
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infrastructures, organisations or people.
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## JSON Generation
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In order to build the JSON file, we created a Python script which scrap the WADA (World Anti-Doping Agency) ‘s prohibited list.
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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.
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The file is created with PyTaxonomies, a MISP library that help to create valid JSON file according to the [MISP Platform](https://www.misp-project.org/taxonomies.html#_misp_taxonomies).
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Finally, the script generates all predicates (doping categories) and the entries associated (the doping substances themselves).
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## Installation
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If you want to try it out yourself, you need to have both BeautifulSoup & PyTaxonomies installated.
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## Authors
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DELUS Thibaut : https://github.com/WooZyhh
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JACOB Lucas : https://github.com/Chaamoxs
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