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 185 results — Critical severity, Active exploitationMLflow: auth bypass in job API enables unauthenticated RCE
CVE-2026-0545 praisonaiagents: sandbox bypass enables full host RCE
CVE-2026-34938 MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596 CrewAI: RCE via Docker fallback in CodeInterpreter
CVE-2026-2275 MLflow: RCE via unsanitized model dependency specs
CVE-2025-15379 MLflow: path traversal enables sandbox escape, file overwrite
CVE-2025-15036 langflow: security flaw enables exploitation
CVE-2026-33475 langflow: Path Traversal enables file access
CVE-2026-33309 langflow: Code Injection enables RCE
CVE-2026-33017 mlflow: Path Traversal enables file access
CVE-2025-15031 onnx: Integrity Verification bypass enables tampering
CVE-2026-28500 OpenClaw: RCE via request-side prompt injection
CVE-2026-30741 mcp-atlassian: Path Traversal enables file access
CVE-2026-27825 vllm: SSRF allows internal network access
CVE-2026-25960 Flowise: auth bypass exposes NVIDIA NIM container endpoints
CVE-2026-30824 flowise: Arbitrary File Upload enables RCE
CVE-2026-30821 langflow: Code Injection enables RCE
CVE-2026-27966 smolagents: SSRF allows internal network access
CVE-2026-2654 langroid: Code Injection enables RCE
CVE-2026-25481 cai-framework: Command Injection enables RCE
CVE-2026-25130 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.
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