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 826 results — has patchopenclaw: MCP owner-context spoofing, privilege escalation
GHSA-r6xh-pqhr-v4xh OpenClaw: .env injection redirects connector endpoints
GHSA-55cf-xx38-4p9p openclaw: ACP child session security envelope bypass
GHSA-q3jj-46pq-826r openclaw: SSRF bypass via Zalo plugin photo URLs
GHSA-2hh7-c75g-qj2r OpenClaw: sender allowlist bypass via Slack thread context
CVE-2026-41358 n8n-mcp: SSRF bypass via IPv6 leaks API keys
CVE-2026-42449 Jupyter Notebook: stored XSS enables full account takeover
CVE-2026-40171 @anthropic-ai/sdk: insecure file perms expose agent memory
CVE-2026-41686 marked: infinite recursion DoS crashes Node.js via OOM
CVE-2026-41680 openclaw: 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 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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