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 severityTensorFlow: heap buffer overflow in Conv2D gradient op
CVE-2021-29540TensorFlow: heap overflow in QuantizedResizeBilinear op
CVE-2021-29537TensorFlow: heap overflow in QuantizedReshape op
CVE-2021-29536TensorFlow: heap overflow in QuantizedMul op
CVE-2021-29535TensorFlow: heap OOB read via RaggedCross op
CVE-2021-29532TensorFlow: null ptr deref in sparse Cholesky ops
CVE-2021-29530TensorFlow: heap buffer overflow in quantized image resize
CVE-2021-29529TensorFlow: div-by-zero DoS in Conv2DBackpropInput
CVE-2021-29525TensorFlow: heap buffer overflow in Conv3DBackprop ops
CVE-2021-29520TensorFlow: null ptr deref in session ops, local RCE
CVE-2021-29518TensorFlow: NULL ptr deref in MatrixDiag ops (crash/RCE)
CVE-2021-29515TensorFlow: heap buffer overflow in RaggedBincount op
CVE-2021-29514TensorFlow: type confusion → null ptr deref (CVSS 7.8)
CVE-2021-29513TensorFlow: heap buffer overflow in RaggedBincount op
CVE-2021-29512TensorFlow: OOB read in glob path matching causes DoS
CVE-2020-26269TensorFlow: OOB read in DataFormatVecPermute op
CVE-2020-26267scikit-learn: DoS via crafted SVM model deserialization
CVE-2020-28975TensorFlow: NaN-triggered DoS in crop_and_resize op
CVE-2020-15266TensorFlow: OOB read DoS via invalid quantize axis
CVE-2020-15265TensorFlow Lite: OOB write in segment sum, memory corruption risk
CVE-2020-15214Frequently 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.
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