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.
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- EPSS exploit probability
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AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 509 results — High severity, Active exploitationTensorFlow TFLite: OOB read via empty tensor in Min/Max ops
CVE-2021-29590 TFLite GatherNd: divide-by-zero crashes inference runtime
CVE-2021-29589 TensorFlow Lite: DoS/RCE via crafted model stride=0
CVE-2021-29588 TensorFlow TFLite: divide-by-zero via crafted model file
CVE-2021-29587 TFLite: div-by-zero in pooling crashes inference engine
CVE-2021-29586 TensorFlow TFLite: divide-by-zero crashes ML inference
CVE-2021-29585 TensorFlow: heap overflow in FusedBatchNorm risks RCE
CVE-2021-29583 TensorFlow: OOB heap read via Dequantize shape mismatch
CVE-2021-29582 TensorFlow: heap buffer overflow in MaxPoolGrad kernel
CVE-2021-29579 TensorFlow: heap buffer overflow in FractionalAvgPoolGrad
CVE-2021-29578 TensorFlow: heap overflow in AvgPool3DGrad op
CVE-2021-29577 TensorFlow: heap buffer overflow in MaxPool3DGradGrad op
CVE-2021-29576 TensorFlow: null ptr deref in MaxPool3DGradGrad ops
CVE-2021-29574 TensorFlow: heap OOB write via crafted bounding box op
CVE-2021-29571 TensorFlow: OOB read in MaxPoolGradWithArgmax op
CVE-2021-29570 TensorFlow: OOB heap read in MaxPoolGradWithArgmax op
CVE-2021-29569 TensorFlow: null deref in ParameterizedTruncatedNormal op
CVE-2021-29568 TensorFlow: heap OOB write in Dilation2D training op
CVE-2021-29566 TensorFlow: heap OOB in RaggedTensorToTensor op
CVE-2021-29560 TensorFlow: heap OOB read in UnicodeEncode leaks memory
CVE-2021-29559 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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