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 1023 results — High severityLabel Studio: XSS enables unauthorized actions via CSRF
CVE-2025-47783 llama_index: DoS via uncapped recursion in web reader
CVE-2025-1752 TensorFlow Serving: JSON recursion DoS on inference API
CVE-2025-0649 vLLM: pickle RCE in multi-node inference deployments
CVE-2025-30165 LLaMA-Factory: RCE via torch.load() unsafe deserialization
CVE-2025-46567 vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560 vLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202 picklescan: scanner bypass enables DNS data exfiltration
CVE-2025-46417 jupyterlab-git: command injection via malicious repo name
CVE-2025-30370 Mesop: class pollution enables DoS and LLM jailbreak
CVE-2025-30358 LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330 litellm: privilege escalation viewer→proxy admin via bad API key
CVE-2025-0628 open-webui: DoS via unauthenticated multipart parsing
GHSA-5ccf-884p-4jjq LiteLLM: API key leakage in logs exposes credentials
CVE-2024-9606 litellm: unauthenticated DoS via multipart boundary parsing
CVE-2024-8984 open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983 Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053 open-webui: Stored XSS enables admin session hijack
CVE-2024-7990 pytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020 OpenWebUI: path traversal RCE via audio upload API
CVE-2024-8060 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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