AI Threat Alert
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 1029 results — High severity CVE-2022-36003 TensorFlow: DoS via RandomPoissonV2 large input 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-36002 TensorFlow: DoS via Unbatch assertion failure 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-36001 TensorFlow: DoS via type confusion in DrawBoundingBoxes 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-36000 TensorFlow: null deref crashes MLIR graph conversion 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35999 TensorFlow: DoS via empty Conv2DBackpropInput tensors 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35998 TensorFlow: DoS via EmptyTensorList CHECK fail 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35997 TensorFlow: CHECK-fail DoS in tf.sparse.cross op 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35996 TensorFlow: Conv2D DoS via empty input tensor 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35995 TensorFlow: DoS via AudioSummaryV2 CHECK failure 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35994 TensorFlow: CollectiveGather assertion DoS via scalar 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35993 TensorFlow: DoS via malformed SetSize tensor shape 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35992 TensorFlow: DoS via malformed TensorList element shape 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35991 TensorFlow: DoS via TensorListScatter CHECK fail 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-36026 TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-36019 TensorFlow: DoS via FakeQuant tensor rank mismatch 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-36018 TensorFlow: RaggedTensor CHECK fail remote DoS 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35990 TensorFlow: DoS via quantization gradient rank check 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-35989 TensorFlow: MaxPool GPU kernel DoS via oversized ksize 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35988 TensorFlow: GPU DoS via empty input to matrix_rank op 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-35987 TensorFlow: DoS via DenseBincount shape mismatch 7.5 0.4% tensorflow Sep 16 Frequently 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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