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-2021-29540TensorFlow: heap buffer overflow in Conv2D gradient op7.80.2%tensorflowMay 14HIGHECVE-2021-29537TensorFlow: heap overflow in QuantizedResizeBilinear op7.80.2%tensorflowMay 14HIGHECVE-2021-29536TensorFlow: heap overflow in QuantizedReshape op7.80.2%tensorflowMay 14HIGHECVE-2021-29535TensorFlow: heap overflow in QuantizedMul op7.80.2%tensorflowMay 14HIGHECVE-2021-29532TensorFlow: heap OOB read via RaggedCross op7.10.2%tensorflowMay 14HIGHECVE-2021-29530TensorFlow: null ptr deref in sparse Cholesky ops7.80.2%tensorflowMay 14HIGHECVE-2021-29529TensorFlow: heap buffer overflow in quantized image resize7.80.3%tensorflowMay 14HIGHECVE-2021-29525TensorFlow: div-by-zero DoS in Conv2DBackpropInput7.80.2%tensorflowMay 14HIGHECVE-2021-29520TensorFlow: heap buffer overflow in Conv3DBackprop ops7.80.2%tensorflowMay 14HIGHECVE-2021-29518TensorFlow: null ptr deref in session ops, local RCE7.80.2%tensorflowMay 14HIGHECVE-2021-29515TensorFlow: NULL ptr deref in MatrixDiag ops (crash/RCE)7.80.2%tensorflowMay 14HIGHECVE-2021-29514TensorFlow: heap buffer overflow in RaggedBincount op7.80.2%tensorflowMay 14HIGHECVE-2021-29513TensorFlow: type confusion → null ptr deref (CVSS 7.8)7.80.2%tensorflowMay 14HIGHECVE-2021-29512TensorFlow: heap buffer overflow in RaggedBincount op7.80.2%tensorflowMay 14HIGHECVE-2020-26269TensorFlow: OOB read in glob path matching causes DoS7.50.7%tensorflowDec 10HIGHECVE-2020-26267TensorFlow: OOB read in DataFormatVecPermute op7.80.2%tensorflowDec 10HIGHECVE-2020-28975scikit-learn: DoS via crafted SVM model deserialization7.53.5%scikit-learnNov 21HIGHECVE-2020-15266TensorFlow: NaN-triggered DoS in crop_and_resize op7.50.9%tensorflowOct 21HIGHECVE-2020-15265TensorFlow: OOB read DoS via invalid quantize axis7.50.9%tensorflowOct 21HIGHECVE-2020-15214TensorFlow Lite: OOB write in segment sum, memory corruption risk8.10.7%tensorflowSep 25Frequently 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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