AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 1042 results — High severity, no patchSiYuan: brute-force bypass of notebook publish passwords
CVE-2026-73045 JupyterLab: missing await bypasses extension allowlist
CVE-2026-73626 SiYuan: missing authz exposes filtered DB rows
CVE-2026-73608 OneCompression: RCE via malicious .pt checkpoint load
CVE-2026-73325 snowflake.core: injection enables privilege escalation
CVE-2026-19594 Velociraptor: VQL auth-reset lets analyst gain investigator role
CVE-2026-64954 InsydeH2O UEFI: unverified boot allows local code execution
CVE-2026-6484 Sub2API: path traversal leaks pooled AI credentials
CVE-2026-73079 TypeBot: guest role exfiltrates OpenAI keys via SSRF
CVE-2026-48766 Velociraptor: path traversal corrupts ACL/hunt metadata
CVE-2026-18640 n8n: SQL injection via PostgresTrigger node
CVE-2026-72775 n8n: path traversal leaks arbitrary local files
CVE-2026-72773 n8n: SSRF bypass in MCP Client node exposes internal hosts
CVE-2026-72768 n8n: Send Email node type confusion enables SSRF, LFI
CVE-2026-72766 n8n: SQL injection via Snowflake node Execute Query
CVE-2026-72750 odh-dashboard: unvalidated roleRef enables cluster-admin
CVE-2026-18950 ODH Dashboard: SA token abuse escalates to cluster-admin
CVE-2026-18949 Feast: authz bypass in /materialize triggers DoS
CVE-2026-18947 Feast: no-auth default enables RCE via malicious UDF
CVE-2026-18941 OpenShift AI Pipelines: confused deputy grants node-root
CVE-2026-18621 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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