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

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…

在 GitHub Advisory Database 阅读

2026/10/29 06:16，GitHub Advisory Database 发布了“ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank”（类型：漏洞公告）。严重程度为“中危”（medium）。相关技术：Python。CVE：CVE-2026-115920。