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 1346 results — Active exploitation, no patchTensorFlow: DoS via Save/SaveSlices dtype CHECK fail
CVE-2022-35983TensorFlow: DoS via invalid SparseBincount input
CVE-2022-35982TensorFlow: DoS via FractionalMaxPoolGrad assertion
CVE-2022-35981TensorFlow: DoS via nonscalar input in QuantizedRelu
CVE-2022-35979TensorFlow: DoS via nonscalar quantization op input
CVE-2022-35974TensorFlow: DoS via QuantizedMatMul input validation
CVE-2022-35973TensorFlow: DoS via QuantizedBiasAdd rank validation
CVE-2022-35972TensorFlow: DoS via invalid quantization tensor rank
CVE-2022-35971TensorFlow: DoS via malformed QuantizedInstanceNorm tensors
CVE-2022-35970TensorFlow: DoS via malformed Conv2DBackpropInput
CVE-2022-35969TensorFlow: DoS via AvgPoolGrad shape validation failure
CVE-2022-35968TensorFlow: DoS via QuantizedAdd tensor rank flaw
CVE-2022-35967TensorFlow: DoS via QuantizedAvgPool input validation
CVE-2022-35966TensorFlow: NULL deref DoS via empty tensor input
CVE-2022-35965TensorFlow: remote DoS via BlockLSTMGradV2 validation
CVE-2022-35964TensorFlow: DoS via FractionalAvgPoolGrad overflow
CVE-2022-35963TensorFlow: DoS via malformed TensorListReserve input
CVE-2022-35960TensorFlow: DoS via AvgPool3DGradOp input overflow
CVE-2022-35959TensorFlow: DoS via UnbatchGradOp assertion crash
CVE-2022-35952TensorFlow: DoS via SobolSample CHECK-failure
CVE-2022-35935Frequently 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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