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 533 results — Critical severityCVE-2025-62593ray: Code Injection enables RCE—60.2%rayNov 26CRITECVE-2025-62608mlx: security flaw enables exploitation9.10.6%mlxNov 21CRITECVE-2025-12060keras: Path Traversal enables file access9.80.6%kerasOct 30CRITECVE-2025-11201mlflow: Path Traversal enables file access9.826.3%mlflowOct 29CRITCVE-2025-11200mlflow: security flaw enables exploitation9.81.4%mlflowOct 29CRITECVE-2025-49655keras: Deserialization enables RCE9.80.8%kerasOct 17CRITECVE-2018-25117VestaCP: backdoored installer, not an AI/ML CVE—0.4%Control Panel (CP)Oct 15CRITGHSA-m9mp-6x32-5rhgscio/PyTorch: torch.load weights_only bypass RCE———Oct 9CRITECVE-2025-61913Flowise: path traversal in file tools leads to RCE9.913.9%flowiseOct 8CRITECVE-2025-59528Flowise: Unauthenticated RCE via MCP config injection10.086.5%flowiseSep 22CRITECVE-2025-59434Flowise Cloud: cross-tenant env var exposure leaks API keys9.64.0%—Sep 22CRITECVE-2025-58434Flowise: auth bypass in reset flow allows full ATO9.882.6%flowiseSep 12CRITECVE-2025-9556langchaingo: Jinja2 SSTI allows host filesystem read9.80.7%—Sep 12CRITECVE-2025-55526n8n-workflows: path traversal in download_workflow endpoint9.10.8%fastapiAug 26CRITCVE-2025-30404ExecuTorch: integer overflow RCE on model load9.80.6%executorchAug 8CRITCVE-2025-30405ExecuTorch: integer overflow in model load → RCE9.80.6%executorchAug 8CRITCVE-2025-54951ExecuTorch: heap buffer overflow RCE in model loading9.80.7%executorchAug 8CRITECVE-2025-54950ExecuTorch: OOB read in model loader enables RCE9.80.6%executorchAug 8CRITCVE-2025-54949ExecuTorch: heap buffer overflow RCE via model loading9.80.7%executorchAug 8CRITECVE-2025-53767Azure OpenAI: SSRF EoP, no auth required (CVSS 10)10.01.1%azure_openaiAug 7Frequently 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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