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 2876 results — no patchCVE-2022-41884TensorFlow: DoS via malformed numpy array shape7.50.4%tensorflowNov 18CRITECVE-2022-41880TensorFlow: heap OOB read in candidate sampler op9.10.4%tensorflowNov 18HIGHECVE-2022-41883TensorFlow: executor crash via malformed op inputs (DoS)7.50.4%tensorflowNov 18HIGHECVE-2022-41083VS Code Jupyter ext: local privilege escalation7.80.7%jupyterOct 11HIGHECVE-2022-36027TensorFlow: DoS crash in transposed conv quantization7.50.8%tensorflowSep 16HIGHECVE-2022-36017TensorFlow: DoS via malformed Requantize tensors7.50.5%tensorflowSep 16HIGHCVE-2022-36016TensorFlow: CHECK-fail assertion crashes model serving7.50.7%tensorflowSep 16HIGHCVE-2022-36015TensorFlow: integer overflow in RangeSize causes DoS7.50.7%tensorflowSep 16HIGHCVE-2022-36014TensorFlow: null ptr dereference in MLIR causes remote DoS7.50.7%tensorflowSep 16HIGHCVE-2022-36013TensorFlow MLIR: null ptr deref crashes model serving7.50.7%tensorflowSep 16HIGHCVE-2022-36012TensorFlow: DoS via empty MLIR function attributes7.50.7%tensorflowSep 16HIGHCVE-2022-36011TensorFlow: null deref DoS in MLIR function conversion7.50.5%tensorflowSep 16HIGHECVE-2022-36005TensorFlow: DoS via CHECK fail in fake_quant gradient7.50.5%tensorflowSep 16HIGHECVE-2022-36004TensorFlow: DoS via tf.random.gamma CHECK assertion7.50.5%tensorflowSep 16HIGHCVE-2022-36003TensorFlow: DoS via RandomPoissonV2 large input7.50.5%tensorflowSep 16HIGHCVE-2022-36002TensorFlow: DoS via Unbatch assertion failure7.50.5%tensorflowSep 16HIGHCVE-2022-36001TensorFlow: DoS via type confusion in DrawBoundingBoxes7.50.5%tensorflowSep 16HIGHCVE-2022-36000TensorFlow: null deref crashes MLIR graph conversion7.50.5%tensorflowSep 16HIGHCVE-2022-35999TensorFlow: DoS via empty Conv2DBackpropInput tensors7.50.5%tensorflowSep 16HIGHECVE-2022-35998TensorFlow: DoS via EmptyTensorList CHECK fail7.50.5%tensorflowSep 16Frequently 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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