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CVE-2026-115921

6.2 medium Published
NVD · CVE.org

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunction_opset8, and ScanInferenceFunction_opset9 do not safely validate the required num_scan_inputs attribute. A missing attribute is dereferenced as a null pointer, while a negative value is converted to size_t and can reach an exceptional oversized allocation path. An untrusted model can therefore terminate or disrupt shape inference, including a negative-value model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.

Fix

Nothing published yet: no patch, vendor advisory or mitigation reference on NVD, no vendor advisory in the News for this CVE, not in CISA's KEV, no fixed package version. BaselineWatch does not guess at one.

Change history 4

  1. StatusAwaiting Analysis → PublishedNVD modified 2026-10-26 17:28
  2. StatusPublished → Awaiting AnalysisNVD modified 2026-10-26 18:34
  3. StatusReceived → PublishedNVD modified 2026-10-26 17:28
  4. First seenCVSS 6.2NVD modified 2026-10-26 18:17

Affected (CPE criteria) 0

NVD has not attached CPE configurations yet.

References 4