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 3021 resultsInvokeAI: RCE via unsafe torch.load deserialization
CVE-2024-12029 LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330 SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508 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 vLLM: RCE via pickle deserialization in distributed API
CVE-2024-9052 litellm: unauthenticated DoS via multipart boundary parsing
CVE-2024-8984 open-webui: Stored XSS enables admin session hijack
CVE-2024-7990 open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983 Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053 OpenWebUI: path traversal RCE via audio upload API
CVE-2024-8060 pytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020 open-webui: missing authz exposes admin prompts
CVE-2024-7045 pytorch-lightning: file upload RCE (Windows)
CVE-2024-8019 Open-WebUI: CSRF enables RCE via pipeline code injection
CVE-2024-7806 Open WebUI: missing authz leaks admin credentials
CVE-2024-7046 open-webui: DoS via malformed multipart boundary
GHSA-6wj5-5pgr-jwq8 Open WebUI: CSRF wipes RAG DB and AI memories via GET
CVE-2024-7035 open-webui: XSS enables admin session hijack via chat
CVE-2024-7053 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?
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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