AI Threat AlertAI 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 1908 results — High severityCVE-2021-29587TensorFlow TFLite: divide-by-zero via crafted model file7.80.2%tensorflowMay 14HIGHECVE-2021-29586TFLite: div-by-zero in pooling crashes inference engine7.80.2%tensorflowMay 14HIGHECVE-2021-29585TensorFlow TFLite: divide-by-zero crashes ML inference7.80.2%tensorflowMay 14HIGHECVE-2021-29583TensorFlow: heap overflow in FusedBatchNorm risks RCE7.80.2%tensorflowMay 14HIGHECVE-2021-29582TensorFlow: OOB heap read via Dequantize shape mismatch7.10.2%tensorflowMay 14HIGHECVE-2021-29579TensorFlow: heap buffer overflow in MaxPoolGrad kernel7.80.2%tensorflowMay 14HIGHECVE-2021-29578TensorFlow: heap buffer overflow in FractionalAvgPoolGrad7.80.2%tensorflowMay 14HIGHECVE-2021-29577TensorFlow: heap overflow in AvgPool3DGrad op7.80.2%tensorflowMay 14HIGHECVE-2021-29576TensorFlow: heap buffer overflow in MaxPool3DGradGrad op7.80.2%tensorflowMay 14HIGHECVE-2021-29574TensorFlow: null ptr deref in MaxPool3DGradGrad ops7.80.2%tensorflowMay 14HIGHECVE-2021-29571TensorFlow: heap OOB write via crafted bounding box op7.80.2%tensorflowMay 14HIGHECVE-2021-29570TensorFlow: OOB read in MaxPoolGradWithArgmax op7.10.2%tensorflowMay 14HIGHECVE-2021-29569TensorFlow: OOB heap read in MaxPoolGradWithArgmax op7.10.2%tensorflowMay 14HIGHECVE-2021-29568TensorFlow: null deref in ParameterizedTruncatedNormal op7.80.2%tensorflowMay 14HIGHECVE-2021-29566TensorFlow: heap OOB write in Dilation2D training op7.80.2%tensorflowMay 14HIGHECVE-2021-29560TensorFlow: heap OOB in RaggedTensorToTensor op7.10.2%tensorflowMay 14HIGHECVE-2021-29559TensorFlow: heap OOB read in UnicodeEncode leaks memory7.10.2%tensorflowMay 14HIGHECVE-2021-29558TensorFlow: heap buffer overflow in SparseSplit op7.80.2%tensorflowMay 14HIGHECVE-2021-29553TensorFlow: heap OOB read via malicious axis in quant op7.10.2%tensorflowMay 14HIGHECVE-2021-29546TensorFlow: div-by-zero in QuantizedBiasAdd, C/I/A high7.80.2%tensorflowMay 14Frequently 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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