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 616 results — High severity, has patchMONAI: NumpyReader RCE via forced allow_pickle=True
GHSA-wg9g-w2j2-8pgrMONAI: OS command injection via crafted YAML config
GHSA-rghg-q7wp-9767MONAI: unpatched pickle deserialization enables RCE
GHSA-qxq5-qhx6-94qwMeshCentral: stored XSS via unsanitized agent osdesc field
GHSA-c7hr-448w-65pxGeoLens: IDOR leaks private datasets via AI metadata API
CVE-2026-55178CodeWhale: rlm_eval RCE bypasses approval policy
CVE-2026-75858Kestra: stored XSS via crafted [[link]] flow description
CVE-2026-55839MLflow: missing authz check leaks private artifacts
CVE-2026-69148atomic-agents: unpriced models silently bypass cost cap
GHSA-j659-8xh6-5pq5SiYuan: second-order SQLi via malicious template packages
CVE-2026-72807SiYuan: key material leak enables offline cracking
CVE-2026-72801SiYuan: broken access control leaks encrypted notes
CVE-2026-72789SiYuan: getConf leaks session key, enables admin takeover
CVE-2026-72793Claude Code Templates: unauth RCE via shell injection
CVE-2026-73222Traefik: underscore header bypass spoofs identity
CVE-2026-54763PraisonAI: SSRF bypass in web_crawl via TOCTOU/rebinding
CVE-2026-55524PraisonAI: SSRF via redirect bypass in web_crawl()
CVE-2026-55523PraisonAI: RCE via workflow include bypasses safe loader
CVE-2026-55522Open WebUI: broken authz lets collaborator delete chats
CVE-2026-70494Open WebUI: KaTeX fallback XSS steals admin session
CVE-2026-70492Frequently 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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