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 943 results — High severity, Active exploitationMLflow: SSTI enables RCE in ML experiment tracking
CVE-2023-6709MLflow: unauth REST API leaks sensitive ML data
CVE-2023-43472MLflow: unauthenticated arbitrary file write via PUT
CVE-2023-6015LangChain: prompt injection triggers SSRF via URL fetch
CVE-2023-32786LangChain: SSRF in URL loader exposes internal network
CVE-2023-46229MLflow: OS command injection enables local code execution
CVE-2023-4033LangChain SQLDatabaseChain: SQL injection, DB exfil
CVE-2023-36189n8n: unauthenticated info disclosure exposes credentials
CVE-2023-27564n8n: privilege escalation exposes full workflow admin
CVE-2023-27563MLflow: path traversal allows unauthenticated file read
CVE-2023-2356TensorFlow: double-free in pooling ops enables RCE
CVE-2023-25801TensorFlow: null pointer DoS in RandomShuffle (XLA)
CVE-2023-25674TensorFlow: integer overflow DoS in video frame decoding
CVE-2023-25667TensorFlow: null ptr deref DoS via sparse tensors
CVE-2023-25665TensorFlow: remote DoS via malformed tensor input
CVE-2022-41909TensorFlow: DoS via invalid UTF-8 input to PyFunc op
CVE-2022-41908TensorFlow: integer overflow in ResizeNearestNeighborGrad → DoS
CVE-2022-41907TensorFlow: DoS via SparseMatrixNNZ CHECK assertion fail
CVE-2022-41901TensorFlow: SdcaOptimizer DoS via malformed tensor rank
CVE-2022-41899TensorFlow: DoS crash via empty SparseFillEmptyRowsGrad inputs
CVE-2022-41898Frequently 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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