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
HIGHECVE-2025-46567LLaMA-Factory: RCE via torch.load() unsafe deserialization7.80.3%llamafactoryMay 1HIGHECVE-2025-46560vLLM: DoS via quadratic multimodal tokenizer input7.50.5%vllmApr 30HIGHECVE-2025-30202vLLM: ZeroMQ socket exposure enables DoS in multi-node7.50.6%vllmApr 30HIGHECVE-2025-46417picklescan: scanner bypass enables DNS data exfiltration—0.2%picklescanApr 7HIGHECVE-2025-30370jupyterlab-git: command injection via malicious repo name7.40.6%jupyterlab-gitApr 4HIGHCVE-2025-30358Mesop: class pollution enables DoS and LLM jailbreak8.10.7%—Mar 27HIGHECVE-2025-0330LiteLLM: Langfuse API key leak via error handling7.50.6%litellmMar 20HIGHECVE-2025-0628litellm: privilege escalation viewer→proxy admin via bad API key8.10.3%litellmMar 20HIGHGHSA-5ccf-884p-4jjqopen-webui: DoS via unauthenticated multipart parsing7.5—open-webuiMar 20HIGHCVE-2024-9606LiteLLM: API key leakage in logs exposes credentials7.50.8%litellmMar 20HIGHECVE-2024-8984litellm: unauthenticated DoS via multipart boundary parsing7.50.9%litellmMar 20HIGHECVE-2024-8053Open-WebUI: unauthenticated PDF endpoint enables DoS7.50.7%open-webuiMar 20HIGHECVE-2024-7990open-webui: Stored XSS enables admin session hijack8.40.9%open-webuiMar 20HIGHECVE-2024-7983open-webui: unauthenticated DoS via markdown parser7.50.9%open-webuiMar 20HIGHECVE-2024-8060OpenWebUI: path traversal RCE via audio upload API8.10.9%open-webuiMar 20HIGHECVE-2024-8020pytorch-lightning: unauthenticated DoS crashes LightningApp7.50.6%pytorch-lightningMar 20HIGHECVE-2024-7776ONNX: path traversal in download_model enables RCE8.11.5%onnxMar 20HIGHECVE-2024-7053open-webui: XSS enables admin session hijack via chat7.60.7%open-webuiMar 20HIGHGHSA-6wj5-5pgr-jwq8open-webui: DoS via malformed multipart boundary7.5—open-webuiMar 20HIGHECVE-2024-7806Open-WebUI: CSRF enables RCE via pipeline code injection8.00.5%open-webuiMar 20

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.

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