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 4307 results
SeverityCVE IDSummaryCVSSEPSSPackageDate
HIGHECVE-2025-48889Gradio: unauthenticated file copy enables disk DoS7.50.7%gradioMay 30HIGHCVE-2025-46722vLLM: image hash collision enables multimodal cache leakage7.30.3%vllmMay 29LOWCVE-2025-46570vLLM: timing side-channel leaks prompt cache data2.60.4%vllmMay 29LOWECVE-2025-5320Gradio: CORS origin bypass in ML UI handler3.70.3%gradioMay 29MEDIGHSA-j828-28rj-hfhpvllm: ReDoS in inference endpoints enables DoS4.3—vllmMay 28HIGHECVE-2025-1753llama-index-cli: OS command injection enables RCE7.81.1%llama-indexMay 28MEDICVE-2025-5278GNU Coreutils sort: heap under-read in begfield()4.4—rhoai/odh-llama-stack-k8s-operator-rhel9May 27HIGHCVE-2025-5173label-studio-ml: PyTorch .pt deserialization RCE in YOLO loader7.80.2%label-studio-mlMay 26CRITECVE-2025-47277vLLM: RCE via exposed TCPStore in distributed inference9.81.0%vllmMay 20HIGHECVE-2025-2099transformers: ReDoS in testing_utils causes DoS7.50.6%transformersMay 19UNKNECVE-2025-1975Ollama: DoS via malicious manifest in /api/pull—0.5%ollamaMay 16HIGHECVE-2025-47783Label Studio: XSS enables unauthorized actions via CSRF—0.6%label-studioMay 15HIGHECVE-2025-1752llama_index: DoS via uncapped recursion in web reader7.50.5%llama-indexMay 10HIGHCVE-2025-0649TensorFlow Serving: JSON recursion DoS on inference API7.50.2%tensorflow_servingMay 6HIGHCVE-2025-30165vLLM: pickle RCE in multi-node inference deployments8.00.6%vllmMay 6LOWECVE-2025-4287PyTorch NCCL: local DoS in distributed training reduce op3.30.2%—May 5CRITECVE-2025-47241browser-use: URL allowlist bypass enables SSRF in agents9.30.5%browser-useMay 5HIGHECVE-2025-46567LLaMA-Factory: RCE via torch.load() unsafe deserialization7.80.3%llamafactoryMay 1HIGHECVE-2025-46560vLLM: DoS via quadratic multimodal tokenizer input7.50.5%vllmApr 30CRITECVE-2025-32444vLLM: RCE via pickle deserialization on ZeroMQ9.81.8%vllmApr 30

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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