AI Threat Alert
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 1551 results — no patch 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 MEDI E CVE-2021-29563 TensorFlow: DoS via RFFT empty matrix assertion crash 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29562 TensorFlow: assertion failure DoS in IRFFT op 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29561 TensorFlow: DoS via malformed LoadAndRemapMatrix input 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29560 TensorFlow: heap OOB in RaggedTensorToTensor op 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29559 TensorFlow: heap OOB read in UnicodeEncode leaks memory 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29558 TensorFlow: heap buffer overflow in SparseSplit op 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29557 TensorFlow: FPE in SparseMatMul causes process DoS 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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