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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
4,307

AI/ML CVEs Tracked

533

Critical

95

New This Week

25

In CISA KEV

Latest AI Security Threats

Showing 20 of 4307 results
SeverityCVE IDSummaryCVSSEPSSPackageDate
HIGHCVE-2023-25676TensorFlow: NULL ptr deref DoS in ParallelConcat op7.50.4%tensorflowMar 25HIGHCVE-2023-25675TensorFlow XLA: Bincount shape mismatch causes DoS7.50.4%tensorflowMar 25HIGHECVE-2023-25674TensorFlow: null pointer DoS in RandomShuffle (XLA)7.50.4%tensorflowMar 25HIGHCVE-2023-25673TensorFlow: FPE in TensorListSplit (XLA) remote DoS7.50.4%tensorflowMar 25HIGHCVE-2023-25672TensorFlow: NPE in LookupTableImportV2 causes DoS7.50.4%tensorflowMar 25HIGHCVE-2023-25671TensorFlow: OOB write DoS via integer type mismatch7.50.5%tensorflowMar 25HIGHCVE-2023-25670TensorFlow: null ptr DoS in quantized MKL MatMul7.50.4%tensorflowMar 25HIGHCVE-2023-25669TensorFlow: DoS via AvgPoolGrad invalid stride params7.50.4%tensorflowMar 25CRITECVE-2023-25668TensorFlow: unauthenticated RCE via heap buffer overflow9.80.8%tensorflowMar 25HIGHECVE-2023-25667TensorFlow: integer overflow DoS in video frame decoding7.50.3%tensorflowMar 25HIGHCVE-2023-25666TensorFlow: FPE in AudioSpectrogram causes DoS7.50.4%tensorflowMar 25HIGHECVE-2023-25665TensorFlow: null ptr deref DoS via sparse tensors7.50.4%tensorflowMar 25CRITECVE-2023-25664TensorFlow: heap overflow in AvgPoolGrad, RCE risk9.80.4%tensorflowMar 25HIGHCVE-2023-25663TensorFlow: null ptr deref crashes inference serving7.50.4%tensorflowMar 25HIGHCVE-2023-25662TensorFlow: integer overflow in EditDistance causes DoS7.50.4%tensorflowMar 25HIGHCVE-2023-25660TensorFlow: null ptr deref in Print op allows remote DoS7.50.4%tensorflowMar 25HIGHCVE-2023-25659TensorFlow: OOB read in DynamicStitch enables DoS7.50.4%tensorflowMar 25HIGHCVE-2023-25658TensorFlow: OOB read in GRUBlockCellGrad causes DoS7.50.4%tensorflowMar 25CRITCVE-2023-1177MLflow: path traversal allows arbitrary file read/write9.869.7%mlflowMar 24LOWECVE-2023-1176MLflow: path traversal exposes arbitrary local files3.30.6%mlflowMar 24

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.

Need deeper analysis?

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