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
4,331

AI/ML CVEs Tracked

535

Critical

108

New This Week

25

In CISA KEV

Latest AI Security Threats

Showing 20 of 1431 results — has patch
SeverityCVE IDSummaryCVSSEPSSPackageDate
HIGHECVE-2026-44721open-webui: XSS in model descriptions steals session tokens7.30.3%open-webuiMay 8HIGHGHSA-8g7g-hmwm-6rv2n8n-mcp: path traversal + SSRF exposes n8n API keys8.3—n8n-mcpMay 8UNKNCVE-2026-44694n8n-MCP: SSRF allows internal network access via webhook tools—0.2%n8n-mcpMay 8MEDIECVE-2026-40610BentoML: symlink traversal exfiltrates host secrets at build5.50.3%bentomlMay 7HIGHCVE-2026-44513diffusers: trust_remote_code bypass enables silent RCE8.81.1%diffusersMay 7CRITECVE-2026-44007vm2: sandbox escape via nesting:true enables RCE9.11.0%vm2May 7HIGHGHSA-j7w6-vpvq-j3gmdiffusers: silent RCE via None.py trust_remote_code bypass8.8—diffusersMay 7HIGHCVE-2026-44504Aegra: cross-tenant IDOR hijacks user thread data—0.3%aegra-apiMay 7MEDIGHSA-cqmh-pcgr-q42f@axonflow/openclaw: credential exposure via insecure file permissions5.5—@axonflow/openclawMay 6HIGHECVE-2026-44334praisonai: RCE via unpatched tool_override exec_module8.40.2%praisonaiMay 6HIGHECVE-2026-44335praisonaiagents: SSRF via URL parser confusion bypass—0.4%praisonaiagentsMay 6HIGHECVE-2026-44244GitPython: git config injection enables hook RCE7.80.2%GitPythonMay 6MEDIECVE-2026-44223vLLM: speculative decoding DoS via penalty params6.50.4%vllmMay 6HIGHCVE-2026-42557JupyterLab: one-click RCE via notebook HTML cell output8.80.5%notebookMay 6HIGHECVE-2026-33079mistune: ReDoS exposes Jupyter/AI services to DoS7.50.6%mistuneMay 6MEDIECVE-2026-44222vLLM: token injection DoS via multimodal placeholders6.50.4%vllmMay 5HIGHCVE-2026-42266JupyterLab: Extension allow-list bypass enables privesc8.85.7%jupyterlabMay 5HIGHECVE-2026-42079PPTAgent: eval injection enables RCE via LLM prompt injection8.60.1%pptagentMay 5HIGHGHSA-cwj3-vqpp-pmxropenclaw: Model bypasses authz to persist unsafe config8.8—openclawMay 5HIGHGHSA-r39h-4c2p-3jxpOpenClaw: RCE via malicious repo setup-api.js7.8—openclawMay 5

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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