## ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank

- 種別: advisory
- 重大度: medium
- 関連技術: python
- CVE: CVE-2026-115920
- 公開日時: 2026-10-28T21:16:42.000Z
- 情報源: GitHub Advisory Database (https://github.com/advisories/GHSA-6pwm-x34p-fvj2)
- パーマリンク: https://vulnpulse.app/items/ghsa-ghsa-6pwm-x34p-fvj2

影響: pip:onnx >= 1.2.1, <= 1.21.0 → 1.22.0
ONNX ConvTranspose shape inference performed an out-of-bounds read when the weight tensor had fewer than three dimensions and the model did not provide a kernel_shape attribute. The inference function derived an empty effective_kernel_shape vector from the undersized weight tensor, then indexed that vector once for each spatial dimension of the input tensor. A crafted model passed onnx.checker.check_model() and caused SIGSEGV when passed to onnx.shape_inference.infer_shapes(). Technical details…