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 1961 results — Active exploitationEch0: scope bypass exposes comment admin endpoints
CVE-2026-79672Ech0: scoped admin token bypass exposes full DB export
CVE-2026-79667Label Studio: IDOR exposes cross-org annotations
CVE-2026-76073Xinference: RCE via forced trust_remote_code=True
CVE-2026-76841BentoML: SSRF via unfiltered CGNAT range
CVE-2026-78205FiboSearch: unauthenticated AJAX leaks password-protected products
CVE-2026-16612Xinference: eval() on LLM output enables RCE
CVE-2026-61539ONNX: TOCTOU symlink bug allows arbitrary file overwrite
CVE-2026-49114LangChain: SitemapLoader SSRF bypasses domain restriction
CVE-2026-72848Qinglong panel: unauth admin credential reset bypass
CVE-2026-55445LMDeploy: RCE via unauth pickle deserialization
CVE-2026-76850Grav API Plugin: authz bypass enables privilege escalation
CVE-2026-64852Froxlor: API leaks password hashes & TOTP seeds
CVE-2026-62988CodeWhale: git_show argument injection enables file write
CVE-2026-75913CodeWhale: rlm_eval RCE bypasses approval policy
CVE-2026-75858tract: malformed ONNX model triggers buffer flaw
CVE-2026-75093MLflow: missing authz check leaks private artifacts
CVE-2026-69148MLflow: missing authZ lets users forge dataset lineage
CVE-2026-69146MLflow: unauth SSRF via webhook hits cloud metadata
CVE-2026-64849Evidently: unauth path traversal leaks any file
CVE-2026-75111Frequently 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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