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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
4,307

AI/ML CVEs Tracked

533

Critical

95

New This Week

25

In CISA KEV

Latest AI Security Threats

Showing 20 of 1908 results — High severity
SeverityCVE IDSummaryCVSSEPSSPackageDate
HIGHCVE-2026-77079n8n: authz bypass in role deletion grants project admin—0.5%n8nAug 20HIGHCVE-2026-77077n8n: EventEmitter prototype pollution enables sandbox RCE—0.6%n8nAug 20HIGHCVE-2026-77076n8n: GraphQL error leaks decrypted credential secret—0.5%n8nAug 20HIGHCVE-2026-77075n8n: expression injection executes JS in victim session—0.5%n8nAug 20HIGHCVE-2026-77072n8n: stored XSS in Form node completion page—0.3%n8nAug 20HIGHCVE-2026-77071n8n: Supabase filter injection leaks/wipes full tables—0.6%n8nAug 20HIGHCVE-2026-77070n8n: NoSQL injection in MongoDB node wipes/exfils data—0.5%n8nAug 20HIGHCVE-2026-77068n8n: RCE via path traversal in MCP schema loader—0.9%n8nAug 20HIGHCVE-2026-76336Splunk SPL2: broken authZ lets low-priv user wipe modules7.10.3%—Aug 19HIGHCVE-2026-76254Splunk Enterprise: SPL injection via Dataset Explorer7.50.4%—Aug 19HIGHGHSA-p77j-g7h5-r2vwGeoLens: authz flaws leak private geospatial data——geolensAug 19HIGHCVE-2026-75149marimo: code injection via malicious MCP server config8.81.0%—Aug 19HIGHCVE-2026-19875Langflow: missing auth allows admin takeover7.50.5%Langflow OSSAug 19HIGHCVE-2026-54347Froxlor: stored XSS in DNS TXT record hijacks admin8.70.4%froxlor/froxlorAug 18HIGHGHSA-wg9g-w2j2-8pgrMONAI: NumpyReader RCE via forced allow_pickle=True7.8—monaiAug 18HIGHGHSA-rghg-q7wp-9767MONAI: OS command injection via crafted YAML config——MONAIAug 18HIGHGHSA-qxq5-qhx6-94qwMONAI: unpatched pickle deserialization enables RCE7.8—monaiAug 18HIGHGHSA-c7hr-448w-65pxMeshCentral: stored XSS via unsanitized agent osdesc field8.3—meshcentralAug 18HIGHCVE-2026-55178GeoLens: IDOR leaks private datasets via AI metadata API7.50.6%geolensAug 18HIGHECVE-2026-75858CodeWhale: rlm_eval RCE bypasses approval policy7.80.4%codewhaleAug 18

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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