A Python package for modeling cybersecurity data in a Neo4j graph database.
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Ontolocy
An open source cyber security graph ontology.
Use Python and Neo4j to explore cyber security data as a graph.
Currently in alpha/proof-of-concept stage - the ontology is likely to change (there may be breaking changes between minor releases).
"All models are wrong, but some are useful" - George Box
Read the docs
Built with Ontolocy
Quick Start
Install Ontolocy
pip install ontolocy
Setup Neo4j Connection Details
Put info in a local .env file.
# .env
NEO4J_URI=neo4j://localhost:7687
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=Neo4jPassword
NEO4J_AUTH=neo4j/Neo4jPassword # If running Neo4j with Docker
Import MITRE ATT&CK Data into Neo4j
ontolocy parse mitre-attack
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