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 509 results — High severity, Active exploitationGradio: path traversal grants arbitrary file read
CVE-2023-51449 Transformers: unsafe deserialization enables RCE on load
CVE-2023-7018 HuggingFace Transformers: RCE via unsafe deserialization
CVE-2023-6730 MLflow: path traversal exposes arbitrary files (no auth)
CVE-2023-6909 MLflow: path traversal allows arbitrary file write
CVE-2023-6831 Gradio: command injection enables RCE on ML servers
CVE-2023-6572 MLflow: path traversal exposes arbitrary file read/write
CVE-2023-6753 MLflow: SSTI enables RCE in ML experiment tracking
CVE-2023-6709 MLflow: unauth REST API leaks sensitive ML data
CVE-2023-43472 MLflow: unauthenticated arbitrary file write via PUT
CVE-2023-6015 LangChain: prompt injection triggers SSRF via URL fetch
CVE-2023-32786 LangChain: SSRF in URL loader exposes internal network
CVE-2023-46229 MLflow: OS command injection enables local code execution
CVE-2023-4033 LangChain SQLDatabaseChain: SQL injection, DB exfil
CVE-2023-36189 n8n: unauthenticated info disclosure exposes credentials
CVE-2023-27564 n8n: privilege escalation exposes full workflow admin
CVE-2023-27563 MLflow: path traversal allows unauthenticated file read
CVE-2023-2356 TensorFlow: double-free in pooling ops enables RCE
CVE-2023-25801 TensorFlow: null pointer DoS in RandomShuffle (XLA)
CVE-2023-25674 TensorFlow: integer overflow DoS in video frame decoding
CVE-2023-25667 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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