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 1033 results — High severityOpenClaw: 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: auth bypass allows unauthorized command execution
CVE-2026-53807 OpenClaw: shell flag bypass enables RCE in agent exec
CVE-2026-53806 Langflow: IDOR bypasses auth, exposes sensitive AI configs
CVE-2026-7787 Xibo CMS: Stored XSS + iframe sandbox escape via DataSet
CVE-2026-42558 Flowise: mass-assignment allows cross-workspace takeover
CVE-2026-46480 Flowise: mass assignment cross-workspace takeover
CVE-2026-46479 Flowise: mass-assignment allows cross-workspace data takeover
CVE-2026-46478 Flowise: mass-assignment cross-workspace dataset takeover
CVE-2026-46477 Flowise: mass assignment enables cross-workspace takeover
CVE-2026-46476 Flowise: mass-assignment enables workspace takeover
CVE-2026-46475 Flowise: missing authz on vector store CRUD ops
CVE-2026-46444 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 Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814 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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