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
Critical
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Latest AI Security Threats
Showing 20 of 2876 results — no patchCVE-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 14MEDIECVE-2021-29575TensorFlow: stack overflow DoS in ReverseSequence op5.50.2%tensorflowMay 14HIGHECVE-2021-29574TensorFlow: null ptr deref in MaxPool3DGradGrad ops7.80.2%tensorflowMay 14MEDIECVE-2021-29573TensorFlow: div-by-zero in MaxPoolGrad op causes DoS5.50.2%tensorflowMay 14MEDIECVE-2021-29572TensorFlow: null ptr deref crashes SdcaOptimizer op5.50.2%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 14MEDIECVE-2021-29567TensorFlow: DoS via SparseDenseCwiseMul OOB5.50.2%tensorflowMay 14HIGHECVE-2021-29566TensorFlow: heap OOB write in Dilation2D training op7.80.2%tensorflowMay 14MEDIECVE-2021-29565TensorFlow: null ptr dereference crashes sparse ops5.50.2%tensorflowMay 14MEDIECVE-2021-29564TensorFlow: null ptr deref DoS in EditDistance op5.50.2%tensorflowMay 14MEDIECVE-2021-29563TensorFlow: DoS via RFFT empty matrix assertion crash5.50.2%tensorflowMay 14MEDIECVE-2021-29562TensorFlow: assertion failure DoS in IRFFT op5.50.2%tensorflowMay 14MEDIECVE-2021-29561TensorFlow: DoS via malformed LoadAndRemapMatrix input5.50.2%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 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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