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 342 results — Critical severitymlflow: Path Traversal enables file access
CVE-2025-11201 mlflow: security flaw enables exploitation
CVE-2025-11200 keras: Deserialization enables RCE
CVE-2025-49655 VestaCP commit a3f0fa1 (2018-05-31) up to commit ee03eff (2018-06-13) contain embedded malicious code that resulted in a supply-chain compromise. New...
CVE-2018-25117 scio/PyTorch: torch.load weights_only bypass RCE
GHSA-m9mp-6x32-5rhg Flowise: path traversal in file tools leads to RCE
CVE-2025-61913 Flowise: Unauthenticated RCE via MCP config injection
CVE-2025-59528 Flowise Cloud: cross-tenant env var exposure leaks API keys
CVE-2025-59434 Flowise: auth bypass in reset flow allows full ATO
CVE-2025-58434 langchaingo: Jinja2 SSTI allows host filesystem read
CVE-2025-9556 n8n-workflows: path traversal in download_workflow endpoint
CVE-2025-55526 ExecuTorch: integer overflow in model load → RCE
CVE-2025-30405 ExecuTorch: heap buffer overflow RCE via model loading
CVE-2025-54949 ExecuTorch: integer overflow RCE on model load
CVE-2025-30404 ExecuTorch: heap buffer overflow RCE in model loading
CVE-2025-54951 ExecuTorch: OOB read in model loader enables RCE
CVE-2025-54950 Azure OpenAI: SSRF EoP, no auth required (CVSS 10)
CVE-2025-53767 ChatGLM-Webui: arbitrary file read, no auth required
CVE-2025-45150 BentoML: unauthenticated SSRF via file upload URLs
CVE-2025-54381 LangChain GmailToolkit: indirect prompt injection to RCE
CVE-2025-46059 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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