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-2022-35997TensorFlow: CHECK-fail DoS in tf.sparse.cross op7.50.5%tensorflowSep 16HIGHCVE-2022-35996TensorFlow: Conv2D DoS via empty input tensor7.50.5%tensorflowSep 16HIGHCVE-2022-35995TensorFlow: DoS via AudioSummaryV2 CHECK failure7.50.5%tensorflowSep 16HIGHCVE-2022-35994TensorFlow: CollectiveGather assertion DoS via scalar7.50.5%tensorflowSep 16HIGHCVE-2022-35993TensorFlow: DoS via malformed SetSize tensor shape7.50.5%tensorflowSep 16HIGHCVE-2022-35992TensorFlow: DoS via malformed TensorList element shape7.50.5%tensorflowSep 16HIGHECVE-2022-35991TensorFlow: DoS via TensorListScatter CHECK fail7.50.5%tensorflowSep 16HIGHECVE-2022-36026TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail7.50.5%tensorflowSep 16HIGHECVE-2022-36019TensorFlow: DoS via FakeQuant tensor rank mismatch7.50.5%tensorflowSep 16HIGHECVE-2022-36018TensorFlow: RaggedTensor CHECK fail remote DoS7.50.5%tensorflowSep 16HIGHECVE-2022-35990TensorFlow: DoS via quantization gradient rank check7.50.5%tensorflowSep 16HIGHCVE-2022-35989TensorFlow: MaxPool GPU kernel DoS via oversized ksize7.50.5%tensorflowSep 16HIGHECVE-2022-35988TensorFlow: GPU DoS via empty input to matrix_rank op7.50.5%tensorflowSep 16HIGHECVE-2022-35987TensorFlow: DoS via DenseBincount shape mismatch7.50.5%tensorflowSep 16HIGHECVE-2022-35986TensorFlow: RaggedBincount DoS crashes inference server7.50.5%tensorflowSep 16HIGHECVE-2022-35985TensorFlow: DoS via malformed LRNGrad tensor input7.50.5%tensorflowSep 16HIGHECVE-2022-35984TensorFlow: int64 type mismatch triggers remote DoS7.50.5%tensorflowSep 16HIGHECVE-2022-35983TensorFlow: DoS via Save/SaveSlices dtype CHECK fail7.50.5%tensorflowSep 16HIGHECVE-2022-35982TensorFlow: DoS via invalid SparseBincount input7.50.5%tensorflowSep 16HIGHECVE-2022-35981TensorFlow: DoS via FractionalMaxPoolGrad assertion7.50.5%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.
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