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
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Latest AI Security Threats
Showing 20 of 1295 results — High severity, no patchNVIDIA: Deserialization enables RCE
CVE-2025-33213n8n: security flaw enables exploitation
CVE-2025-65964langflow: security flaw enables exploitation
CVE-2025-34291mcp-server-kubernetes: Command Injection enables RCE
CVE-2025-66404vllm: Code Injection enables RCE
CVE-2025-66448mlx: security flaw enables exploitation
CVE-2025-62609AI component: Arbitrary File Upload enables RCE
CVE-2025-12973vllm: Input Validation flaw enables exploitation
CVE-2025-62164n8n: security flaw enables exploitation
CVE-2025-62726Flowise: authenticated RCE via nodevm sandbox escape
CVE-2025-34267vLLM: timing attack enables API key bypass
CVE-2025-59425Flowise: unrestricted file upload enables persistent RCE
CVE-2025-61687Netsis Panel: unauthenticated SQLi enables data exfiltration
CVE-2025-0616PyTorch: DoS via sparse/dense tensor Inductor compile
CVE-2025-55560TensorFlow: DoS via Conv2D valid padding crash
CVE-2025-55559PyTorch: Inductor compiler buffer overflow causes DoS
CVE-2025-55558PyTorch: DoS via cummin+Inductor NameError in 2.7.0
CVE-2025-55557PyTorch 2.7.0: DoS via proxy_tensor.py syntax error
CVE-2025-55553PyTorch: integer overflow in rot90+randn_like causes DoS
CVE-2025-55552PyTorch: DoS in linalg.lu via malformed slice op
CVE-2025-55551Frequently 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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