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
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 3024 resultsopenclaw: path traversal exposes host files via audio embed
GHSA-gfg9-5357-hv4c openclaw: auth bypass in owner command enforcement
GHSA-c28g-vh7m-fm7v n8n: XML Node prototype pollution → RCE
CVE-2026-42232 n8n: prototype pollution → RCE via Git node SSH
CVE-2026-42231 n8n: stored XSS via MCP OAuth steals agent sessions
CVE-2026-42235 n8n: IDOR exposes cross-user API key exfiltration
CVE-2026-42226 n8n: Python sandbox escape enables container RCE
CVE-2026-42234 n8n: IDOR leaks cross-project variables via API key
CVE-2026-42227 n8n: unauthenticated MCP endpoint causes memory DoS
CVE-2026-42236 n8n: WebSocket auth bypass hijacks AI agent workflows
CVE-2026-42228 n8n: SQL injection in SeaTable node leaks restricted rows
CVE-2026-42229 n8n: MCP OAuth open redirect enables phishing
CVE-2026-42230 n8n: SQL injection in Oracle node allows data exfiltration
CVE-2026-42233 n8n: SQL injection in Snowflake/MySQL nodes bypasses fix
CVE-2026-42237 Ollama: path traversal + unsigned update = silent RCE
CVE-2026-42249 Ollama: silent auto-update bypasses signature check on Windows
CVE-2026-42248 vllm: uninitialized KV cache memory leaks inference data
CVE-2026-7141 Ollama: path traversal in tensor model transfer handler
CVE-2026-7020 openclaw: config guard bypass, persistent settings mutation
GHSA-7jm2-g593-4qrc openclaw: tool policy bypass via bundled MCP/LSP tools
GHSA-qrp5-gfw2-gxv4 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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