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CVE-2026-115920

6.2 medium SSVC exploitation: none Published
NVD · CVE.org

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.2.1 until 1.22.0, ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernel_shape attribute by deriving an empty effective_kernel_shape and indexing it for the input's spatial dimensions. The flaw affects convTransposeShapeInference_opset11() and the current inference path, and an untrusted model that can pass onnx.checker.check_model() can crash onnx.shape_inference.infer_shapes(), causing denial of service without demonstrated confidentiality or integrity impact. 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 6

  1. StatusAwaiting Analysis → PublishedNVD modified 2026-10-26 19:48
  2. StatusPublished → Awaiting AnalysisNVD modified 2026-10-26 20:17
  3. StatusAwaiting Analysis → PublishedNVD modified 2026-10-26 17:26
  4. StatusPublished → Awaiting AnalysisNVD modified 2026-10-26 18:34
  5. StatusReceived → PublishedNVD modified 2026-10-26 17:26
  6. First seenCVSS 6.2NVD modified 2026-10-26 18:17

Affected (CPE criteria) 0

NVD has not attached CPE configurations yet.

References 4