AI Threat AlertAI 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 1431 results — has patch@anthropic-ai/sdk: insecure file perms expose agent memory
CVE-2026-41686marked: infinite recursion DoS crashes Node.js via OOM
CVE-2026-41680openclaw: path traversal exposes host files via audio embed
GHSA-gfg9-5357-hv4copenclaw: auth bypass in owner command enforcement
GHSA-c28g-vh7m-fm7vn8n: XML Node prototype pollution → RCE
CVE-2026-42232n8n: prototype pollution → RCE via Git node SSH
CVE-2026-42231n8n: stored XSS via MCP OAuth steals agent sessions
CVE-2026-42235n8n: IDOR exposes cross-user API key exfiltration
CVE-2026-42226n8n: Python sandbox escape enables container RCE
CVE-2026-42234n8n: IDOR leaks cross-project variables via API key
CVE-2026-42227n8n: unauthenticated MCP endpoint causes memory DoS
CVE-2026-42236n8n: WebSocket auth bypass hijacks AI agent workflows
CVE-2026-42228n8n: SQL injection in SeaTable node leaks restricted rows
CVE-2026-42229n8n: MCP OAuth open redirect enables phishing
CVE-2026-42230n8n: SQL injection in Oracle node allows data exfiltration
CVE-2026-42233n8n: SQL injection in Snowflake/MySQL nodes bypasses fix
CVE-2026-42237vllm: uninitialized KV cache memory leaks inference data
CVE-2026-7141openclaw: config guard bypass, persistent settings mutation
GHSA-7jm2-g593-4qrcopenclaw: tool policy bypass via bundled MCP/LSP tools
GHSA-qrp5-gfw2-gxv4OpenClaw: env injection exposes MiniMax API key
GHSA-h2vw-ph2c-jvwfFrequently 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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