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 4307 resultsGradio: unauthenticated file copy enables disk DoS
CVE-2025-48889vLLM: image hash collision enables multimodal cache leakage
CVE-2025-46722vLLM: timing side-channel leaks prompt cache data
CVE-2025-46570Gradio: CORS origin bypass in ML UI handler
CVE-2025-5320vllm: ReDoS in inference endpoints enables DoS
GHSA-j828-28rj-hfhpllama-index-cli: OS command injection enables RCE
CVE-2025-1753GNU Coreutils sort: heap under-read in begfield()
CVE-2025-5278label-studio-ml: PyTorch .pt deserialization RCE in YOLO loader
CVE-2025-5173vLLM: RCE via exposed TCPStore in distributed inference
CVE-2025-47277transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099Ollama: DoS via malicious manifest in /api/pull
CVE-2025-1975Label Studio: XSS enables unauthorized actions via CSRF
CVE-2025-47783llama_index: DoS via uncapped recursion in web reader
CVE-2025-1752TensorFlow Serving: JSON recursion DoS on inference API
CVE-2025-0649vLLM: pickle RCE in multi-node inference deployments
CVE-2025-30165PyTorch NCCL: local DoS in distributed training reduce op
CVE-2025-4287browser-use: URL allowlist bypass enables SSRF in agents
CVE-2025-47241LLaMA-Factory: RCE via torch.load() unsafe deserialization
CVE-2025-46567vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560vLLM: RCE via pickle deserialization on ZeroMQ
CVE-2025-32444Frequently 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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