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 1295 results — High severity, no patchGradio: unauthenticated file copy enables disk DoS
CVE-2025-48889vLLM: image hash collision enables multimodal cache leakage
CVE-2025-46722llama-index-cli: OS command injection enables RCE
CVE-2025-1753label-studio-ml: PyTorch .pt deserialization RCE in YOLO loader
CVE-2025-5173transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099TensorFlow Serving: JSON recursion DoS on inference API
CVE-2025-0649vLLM: pickle RCE in multi-node inference deployments
CVE-2025-30165vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560vLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202Mesop: class pollution enables DoS and LLM jailbreak
CVE-2025-30358LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330open-webui: DoS via unauthenticated multipart parsing
GHSA-5ccf-884p-4jjqpytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983open-webui: Stored XSS enables admin session hijack
CVE-2024-7990open-webui: XSS enables admin session hijack via chat
CVE-2024-7053LiteLLM: RCE via post_call_rules callback injection
CVE-2024-6825Open WebUI: auth bypass exposes all user files
CVE-2024-7043open-webui: Privilege bypass enables admin account deletion
CVE-2024-7039Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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