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 1042 results — High severity, no patchLangflow: AST code scanner bypass enables auth'd RCE
CVE-2026-17632 Langflow: authenticated RCE via unsafe module imports
CVE-2026-17624 Langflow: broken access control enables cache poisoning
CVE-2026-10547 Langflow: SSRF in Ollama config hits internal hosts
CVE-2026-9081 Langflow: RCE via authenticated OS command injection
CVE-2026-17625 Langflow: MCP config write bypasses localhost restriction
CVE-2026-9077 Langflow: OAuth auth bypass on MCP composer endpoint
CVE-2026-8446 Langflow: RCE via improper config parameter validation
CVE-2026-17630 Langflow: Docker MCP volume-mount flaw exposes host files
CVE-2026-17626 Langflow: MCP config command injection allows RCE
CVE-2026-17623 Mistral Vibe: RCE via malicious git fsmonitor hook
CVE-2026-67623 peft: unsafe torch.load in LoRA-GA/CorDA allows RCE
CVE-2026-71281 MLflow AI Gateway: SSRF via unvalidated api_base
CVE-2026-71211 AIWU WP Plugin: unauth leak of stored OpenAI keys
CVE-2026-6639 Pterodactyl Wings: SFTP handshake DoS via Go panic
CVE-2026-52856 Google mcp-toolbox: BigQuery allowedDatasets bypass
CVE-2026-14538 MeshCentral: origin-check bypass lets attackers hijack admin sessions
CVE-2026-66420 Langflow: IDOR exposes/poisons cross-tenant RAG vectors
CVE-2026-13444 Langflow: IDOR exposes/manipulates other users' builds
CVE-2026-12945 Langflow: path traversal exposes arbitrary server files
CVE-2026-12942 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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