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 4307 resultsTensorFlow: null deref DoS in MLIR function conversion
CVE-2022-36011TensorFlow: DoS via CHECK fail in fake_quant gradient
CVE-2022-36005TensorFlow: DoS via tf.random.gamma CHECK assertion
CVE-2022-36004TensorFlow: DoS via RandomPoissonV2 large input
CVE-2022-36003TensorFlow: DoS via Unbatch assertion failure
CVE-2022-36002TensorFlow: DoS via type confusion in DrawBoundingBoxes
CVE-2022-36001TensorFlow: null deref crashes MLIR graph conversion
CVE-2022-36000TensorFlow: DoS via empty Conv2DBackpropInput tensors
CVE-2022-35999TensorFlow: DoS via EmptyTensorList CHECK fail
CVE-2022-35998TensorFlow: CHECK-fail DoS in tf.sparse.cross op
CVE-2022-35997TensorFlow: Conv2D DoS via empty input tensor
CVE-2022-35996TensorFlow: DoS via AudioSummaryV2 CHECK failure
CVE-2022-35995TensorFlow: CollectiveGather assertion DoS via scalar
CVE-2022-35994TensorFlow: DoS via malformed SetSize tensor shape
CVE-2022-35993TensorFlow: DoS via malformed TensorList element shape
CVE-2022-35992TensorFlow: DoS via TensorListScatter CHECK fail
CVE-2022-35991TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail
CVE-2022-36026TensorFlow: DoS via FakeQuant tensor rank mismatch
CVE-2022-36019TensorFlow: RaggedTensor CHECK fail remote DoS
CVE-2022-36018TensorFlow: DoS via quantization gradient rank check
CVE-2022-35990Frequently 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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