Disclosed Vulnerabilities
CVEs, security advisories, and disclosed vulnerabilities specific to AI models, frameworks, and deployment infrastructure.
Disclosed vulnerabilities across major AI models and platforms. Severity scoring, attribution analysis, and patch tracking via automated data pipelines.
View Dataset on GitHub →CVEs, security advisories, and disclosed vulnerabilities specific to AI models, frameworks, and deployment infrastructure.
CVSS-based severity analysis with AI-specific impact metrics for model integrity, data poisoning, and inference manipulation.
Tracking vulnerability discoverers, responsible disclosure timelines, and vendor response patterns across the AI ecosystem.
Monitoring fix deployment timelines, mitigation strategies, and remediation effectiveness across affected AI platforms.
Data is collected weekly via automated pipelines from CVE databases, vendor security advisories, bug bounty disclosures, and academic security research. All collection scripts are transparent and auditable.