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 1562 results — no patch CVE-2022-41888 TensorFlow: GPU input validation DoS in bbox proposals 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-41887 TensorFlow: int32 overflow crashes Poisson loss function 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-41886 TensorFlow: integer overflow in image op causes DoS 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-41885 TensorFlow: FusedResizeAndPadConv2D overflow causes DoS 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-41884 TensorFlow: DoS via malformed numpy array shape 7.5 0.3% tensorflow Nov 18 CRIT E CVE-2022-41880 TensorFlow: heap OOB read in candidate sampler op 9.1 0.4% tensorflow Nov 18 HIGH E CVE-2022-41883 TensorFlow: executor crash via malformed op inputs (DoS) 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-36027 TensorFlow: DoS crash in transposed conv quantization 7.5 0.6% tensorflow Sep 16 HIGH E CVE-2022-36017 TensorFlow: DoS via malformed Requantize tensors 7.5 0.4% tensorflow Sep 16 HIGH CVE-2022-36016 TensorFlow: CHECK-fail assertion crashes model serving 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-36015 TensorFlow: integer overflow in RangeSize causes DoS 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-36014 TensorFlow: null ptr dereference in MLIR causes remote DoS 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-36013 TensorFlow MLIR: null ptr deref crashes model serving 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-36012 TensorFlow: DoS via empty MLIR function attributes 7.5 0.5% tensorflow Sep 16 HIGH CVE-2022-36011 TensorFlow: null deref DoS in MLIR function conversion 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-36005 TensorFlow: DoS via CHECK fail in fake_quant gradient 7.5 0.4% tensorflow Sep 16 HIGH E CVE-2022-36004 TensorFlow: DoS via tf.random.gamma CHECK assertion 7.5 0.4% tensorflow Sep 16 HIGH 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 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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