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 1661 results — Active exploitationPraisonAI: unauth memory exhaustion via MCP sessions
CVE-2026-55531 PraisonAI: AgentServer auth token never enforced
CVE-2026-55528 PraisonAI: MCP origin-check bypass runs local tools
CVE-2026-55529 PraisonAI: SSRF via redirect bypasses crawl allowlist
CVE-2026-55525 Ech0: scope bypass exposes comment admin endpoints
CVE-2026-79672 Ech0: scoped admin token bypass exposes full DB export
CVE-2026-79667 Label Studio: IDOR exposes cross-org annotations
CVE-2026-76073 Xinference: RCE via forced trust_remote_code=True
CVE-2026-76841 BentoML: SSRF via unfiltered CGNAT range
CVE-2026-78205 FiboSearch: unauthenticated AJAX leaks password-protected products
CVE-2026-16612 Xinference: eval() on LLM output enables RCE
CVE-2026-61539 ONNX: TOCTOU symlink bug allows arbitrary file overwrite
CVE-2026-49114 LangChain: SitemapLoader SSRF bypasses domain restriction
CVE-2026-72848 Qinglong panel: unauth admin credential reset bypass
CVE-2026-55445 LMDeploy: RCE via unauth pickle deserialization
CVE-2026-76850 Grav API Plugin: authz bypass enables privilege escalation
CVE-2026-64852 Froxlor: API leaks password hashes & TOTP seeds
CVE-2026-62988 CodeWhale: git_show argument injection enables file write
CVE-2026-75913 CodeWhale: rlm_eval RCE bypasses approval policy
CVE-2026-75858 tract: malformed ONNX model triggers buffer flaw
CVE-2026-75093 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?
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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