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 1961 results — Active exploitationTensorFlow: heap OOB read via RaggedCross op
CVE-2021-29532TensorFlow: DoS crash via empty tensor in PNG encoding
CVE-2021-29531TensorFlow: null ptr deref in sparse Cholesky ops
CVE-2021-29530TensorFlow: heap buffer overflow in quantized image resize
CVE-2021-29529TensorFlow: DoS via division-by-zero in QuantizedMul
CVE-2021-29528TensorFlow: divide-by-zero DoS in QuantizedConv2D
CVE-2021-29527TensorFlow: Conv2D divide-by-zero crashes ML workloads
CVE-2021-29526TensorFlow: div-by-zero DoS in Conv2DBackpropInput
CVE-2021-29525TensorFlow: div-by-zero DoS in Conv2D backprop op
CVE-2021-29524TensorFlow: DoS via integer overflow in sparse ops
CVE-2021-29523TensorFlow: Conv3DBackprop div-by-zero crashes training
CVE-2021-29522TensorFlow: DoS crash via negative sparse tensor shape
CVE-2021-29521TensorFlow: heap buffer overflow in Conv3DBackprop ops
CVE-2021-29520TensorFlow SparseCross: type confusion DoS
CVE-2021-29519TensorFlow: null ptr deref in session ops, local RCE
CVE-2021-29518TensorFlow: Conv3D div-by-zero crashes ML processes
CVE-2021-29517TensorFlow: null ptr deref crashes RaggedTensor ops
CVE-2021-29516TensorFlow: 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-2021-29513Frequently 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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