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 4307 resultsSpring AI: predictable ONNX cache path enables model swap
CVE-2026-47852Veno File Manager: unauth log disclosure via broken ACL
CVE-2026-37067KubePi: broken cluster-scope check exposes MLOps clusters
CVE-2026-69129KubePi: exposed SSO config API enables takeover
CVE-2026-65956Penpot: stored XSS in comments enables session takeover
CVE-2026-47665Pterodactyl Wings: SFTP quota bypass causes node-wide DoS
CVE-2026-61617Cohere North AI: file upload flaw enables RCE
CVE-2025-61165Cohere North: WebSocket leak exposes session data
CVE-2025-61164Cohere North AI: missing Origin check enables CSWSH
CVE-2025-61163Cohere North AI: IDOR allows overwriting any user record
CVE-2025-61162LibreNMS: stored XSS via unescaped SNMP/syslog data
GHSA-7w8c-qgxg-m7jxBooking Calendar: IDOR enables employee account takeover
CVE-2026-14212InsydeH2O: SMM buffer overflow in IHISI FMTS handler
CVE-2026-9805Chainlit: unauth SSRF via MCP url/header injection
CVE-2026-45019Chainlit: unauth RCE via MCP stdio cmd injection
CVE-2026-45018X-AnyLabeling: MITM model swap yields RCE via torch.load
CVE-2026-79785Vocos: RCE via unrestricted class loading in model config
CVE-2026-79784mcp-shell: insecure defaults allow full shell RCE
CVE-2026-55580mcp-shell: bash allowlist bypass grants RCE, no auth
CVE-2026-55581mcp-shell: secure mode bypass via git alias RCE
CVE-2026-55582Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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