CVE-2026-115920

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 kernelshape attribute by deriving an empty effectivekernelshape and indexing it...

CVE-2026-115920

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 kernelshape attribute by deriving an empty effectivekernelshape and indexing it...

CVE-2026-115920 ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank

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 kernelshape attribute by deriving an empty effectivekernelshape and indexing it...

CVE-2026-115920 ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank

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 kernelshape attribute by deriving an empty effectivekernelshape and indexing it...

CVE-2026-115920 ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank

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 kernelshape attribute by deriving an empty effectivekernelshape and indexing it...

CVE-2026-115920

The Open Neural Network Exchange (ONNX) framework is vulnerable to an out-of-bounds read (CWE-125) in the convTransposeShapeInference_opset11() function and current inference paths. The flaw occurs when processing a weight tensor with fewer than three dimensions that lacks a kernel_shape attribut...

EUVD-2026-110041

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 kernelshape attribute by deriving an empty effectivekernelshape and indexing it...