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 251 results — Active exploitation, has patchONNX: symlink path traversal allows arbitrary file read
CVE-2026-27489 MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596 MLflow: RCE via unsanitized model dependency specs
CVE-2025-15379 MLflow: path traversal enables sandbox escape, file overwrite
CVE-2025-15036 langchain-core: path traversal exposes host secrets via prompt config
CVE-2026-34070 @mobilenext/mobile-mcp: path traversal via AI agent tool
CVE-2026-33989 Open WebUI: IDOR exposes AI memories and private files
CVE-2026-29071 open-webui: missing authz allows cross-KB file deletion
CVE-2026-29070 Open WebUI: BOLA enables RAG poisoning via file overwrite
CVE-2026-28788 Open WebUI: path traversal leaks server filesystem path
CVE-2026-28786 BentoML: command injection in bentofile.yaml containerize
CVE-2026-33744 langflow: Path Traversal enables file access
CVE-2026-33497 langflow: Access Control bypass enables privilege escalation
CVE-2026-33484 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 mlflow: Code Injection enables RCE
CVE-2025-14287 Flowise: SSRF via HTTP Node exposes internal network
CVE-2026-31829 mcp-atlassian: Path Traversal enables file access
CVE-2026-27825 mcp-atlassian: SSRF allows internal network access
CVE-2026-27826 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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