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 672 results — High severity, no patchTensorFlow: DoS via empty MLIR function attributes
CVE-2022-36012 TensorFlow: null deref DoS in MLIR function conversion
CVE-2022-36011 TensorFlow: DoS via CHECK fail in fake_quant gradient
CVE-2022-36005 TensorFlow: DoS via tf.random.gamma CHECK assertion
CVE-2022-36004 TensorFlow: DoS via RandomPoissonV2 large input
CVE-2022-36003 TensorFlow: DoS via Unbatch assertion failure
CVE-2022-36002 TensorFlow: DoS via type confusion in DrawBoundingBoxes
CVE-2022-36001 TensorFlow: null deref crashes MLIR graph conversion
CVE-2022-36000 TensorFlow: DoS via empty Conv2DBackpropInput tensors
CVE-2022-35999 TensorFlow: DoS via EmptyTensorList CHECK fail
CVE-2022-35998 TensorFlow: CHECK-fail DoS in tf.sparse.cross op
CVE-2022-35997 TensorFlow: Conv2D DoS via empty input tensor
CVE-2022-35996 TensorFlow: DoS via AudioSummaryV2 CHECK failure
CVE-2022-35995 TensorFlow: CollectiveGather assertion DoS via scalar
CVE-2022-35994 TensorFlow: DoS via malformed SetSize tensor shape
CVE-2022-35993 TensorFlow: DoS via malformed TensorList element shape
CVE-2022-35992 TensorFlow: DoS via TensorListScatter CHECK fail
CVE-2022-35991 TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail
CVE-2022-36026 TensorFlow: DoS via FakeQuant tensor rank mismatch
CVE-2022-36019 TensorFlow: RaggedTensor CHECK fail remote DoS
CVE-2022-36018 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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