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 1076 results — has patchOpenClaw: auth bypass exposes restricted channel messages
CVE-2026-53815 OpenClaw: privilege escalation via hook-triggered MCP scope
CVE-2026-53814 OpenClaw: path traversal enables RCE via memory-core artifacts
CVE-2026-53813 OpenClaw: SSRF bypasses private-network access controls
CVE-2026-53812 OpenClaw: privilege escalation via identity spoofing
CVE-2026-53811 OpenClaw: extension metadata bypass enables agent RCE
CVE-2026-53810 OpenClaw: policy bypass exposes restricted tool access
CVE-2026-53809 OpenClaw: shell flag bypass enables RCE in agent exec
CVE-2026-53806 Keras: path traversal allows arbitrary file write
CVE-2026-11816 vLLM: revision pin bypass loads unreviewed artifacts
CVE-2026-47155 net-imap: IMAP command smuggling enables DoS
CVE-2026-47241 twig/twig: sandbox bypass leaks render context
CVE-2026-47732 skillctl: path traversal enables credential exfiltration
GHSA-wx3m-whqv-xv47 praisonai-platform: IDOR enables cross-workspace agent read/write/delete
CVE-2026-47419 mcp-server-kubernetes: flag injection steals K8s tokens
CVE-2026-47250 OpenMeter: SQL injection leaks all-tenant metering data
CVE-2026-8462 Streamlit: weak hash enables cache integrity bypass
CVE-2026-10804 MLflow: weak dataset hash allows integrity bypass
CVE-2026-10803 Gradio: weak hash exposes audio cache to local users
CVE-2026-10783 Froxlor: 2FA bypass via API grants full account access
GHSA-f9rx-7wf7-jr36 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?
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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