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 1048 results — Medium severityTensorFlow: DoS via div-by-zero in UnravelIndex op
CVE-2021-37668 TensorFlow Lite: MLIR null ptr deref crashes inference
CVE-2021-37689 TensorFlow Lite: DoS via crafted TFLite model file
CVE-2021-37688 TFLite: infinite loop DoS via crafted strided slice model
CVE-2021-37686 TFLite: division by zero crashes fully connected layers
CVE-2021-37680 TensorFlow: DoS via division by zero in conv ops
CVE-2021-37675 TensorFlow: integer sign conversion DoS in boosted trees
CVE-2021-37661 TensorFlow: StringNGrams integer overflow triggers DoS
CVE-2021-37646 TensorFlow: integer overflow in quantize grad causes DoS
CVE-2021-37645 TensorFlow: DoS via negative TensorListReserve input
CVE-2021-37644 TensorFlow: null ptr deref crashes inference via bad tensor
CVE-2021-37649 TensorFlow: null deref in SparseTensor ops causes DoS
CVE-2021-37647 TensorFlow: null ptr dereference in CompressElement (DoS)
CVE-2021-37637 TensorFlow: DoS via divide-by-zero in inplace ops
CVE-2021-37660 TensorFlow: DoS via divide-by-zero in ResourceGather op
CVE-2021-37653 TensorFlow: ResourceScatterDiv div-by-zero enables DoS
CVE-2021-37642 TensorFlow: SparseReshape div-by-zero crashes ML pipelines
CVE-2021-37640 TensorFlow: div-by-zero DoS in SparseDenseCwiseDiv op
CVE-2021-37636 TensorFlow: DoS via invalid SparseCount op args
CVE-2021-29619 TensorFlow: DoS crash via tf.transpose complex+conjugate
CVE-2021-29618 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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