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 1069 results — Active exploitation CVE-2021-29583 TensorFlow: heap overflow in FusedBatchNorm risks RCE 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29582 TensorFlow: OOB heap read via Dequantize shape mismatch 7.1 0.2% tensorflow May 14 MEDI E CVE-2021-29581 TensorFlow: DoS via null buffer in CTCBeamSearchDecoder 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29580 TensorFlow: DoS via empty tensor in FractionalMaxPoolGrad 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29579 TensorFlow: heap buffer overflow in MaxPoolGrad kernel 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29578 TensorFlow: heap buffer overflow in FractionalAvgPoolGrad 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29577 TensorFlow: heap overflow in AvgPool3DGrad op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29576 TensorFlow: heap buffer overflow in MaxPool3DGradGrad op 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29575 TensorFlow: stack overflow DoS in ReverseSequence op 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29574 TensorFlow: null ptr deref in MaxPool3DGradGrad ops 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29573 TensorFlow: div-by-zero in MaxPoolGrad op causes DoS 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29572 TensorFlow: null ptr deref crashes SdcaOptimizer op 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29571 TensorFlow: heap OOB write via crafted bounding box op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29570 TensorFlow: OOB read in MaxPoolGradWithArgmax op 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29569 TensorFlow: OOB heap read in MaxPoolGradWithArgmax op 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29568 TensorFlow: null deref in ParameterizedTruncatedNormal op 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29567 TensorFlow: DoS via SparseDenseCwiseMul OOB 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29566 TensorFlow: heap OOB write in Dilation2D training op 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29565 TensorFlow: null ptr dereference crashes sparse ops 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29564 TensorFlow: null ptr deref DoS in EditDistance op 5.5 0.2% tensorflow May 14 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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