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
Critical
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Latest AI Security Threats
Showing 20 of 615 results — Active exploitation, has patchOpen WebUI: stored XSS via citation iFrame → admin RCE
CVE-2026-26192Open WebUI: chat XSS steals tokens, admin RCE
CVE-2025-46719Open WebUI: Stored XSS via HTML upload enables admin RCE
CVE-2025-46571onnx: crafted model triggers SIGSEGV in version_converter
CVE-2026-44512Langroid: unvalidated LLM Cypher enables graph RCE
CVE-2026-55615vLLM: crafted spec-decoding request crashes GPU worker (DoS)
CVE-2026-54234Coder: CORS bypass via workspace subdomain proxy
CVE-2026-55438Langroid: auth bypass invokes disabled tools via raw JSON
CVE-2026-54771Langroid: prompt injection to RCE via broken eval() sandbox
CVE-2026-54769Langroid: SQLChatAgent regex bypass exposes pg_read_file
CVE-2026-54760vLLM: audio upload OOMs process before size check
CVE-2026-55646Keras: safe_mode=None bypass enables Lambda RCE
CVE-2026-12481langroid: SQL blocklist bypass leaks Postgres files
CVE-2026-50180Langroid: path traversal escapes sandboxed file tools
CVE-2026-50181mcp-memory-service: auth bypass on document API
CVE-2026-50027Gradio: path traversal in FileExplorer leaks files
CVE-2026-49119auth-fetch-mcp: SSRF bypass via IPv6 loopback
CVE-2026-49857Ray: RCE via pickle/torch deserialization in WebDataset
CVE-2026-57516Keras: incomplete fix reopens HDF5 arbitrary file read
CVE-2026-12480Langflow: authenticated RCE enables credential theft
CVE-2026-7873Frequently 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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