Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence

Name: Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence
Uploaded: 2026-10-21T04:37:49.024659+00:00
Duration: 898 s
Description: A Neo4j graph database was built from open source intelligence texts to improve threat hunting, malware clustering, and vulnerability analysis. The system connects documents to indicators of compromise (IOCs) like hashes and CVE IDs. This allows analysts to find hidden links between seemingly unrelated data points, such as shared malware components or influential vulnerabilities.

A Neo4j graph database was built from open source intelligence texts to improve threat hunting, malware clustering, and vulnerability analysis. The system connects documents to indicators of compromise (IOCs) like hashes and CVE IDs. This allows analysts to find hidden links between seemingly unrelated data points, such as shared malware components or influential vulnerabilities.

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