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Affected Vendors & Products
No advisories yet.
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
Mon, 26 Oct 2026 20:30:00 +0000
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ssvc
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Mon, 26 Oct 2026 19:15:00 +0000
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| First Time appeared |
Onnx
Onnx onnx |
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| Vendors & Products |
Onnx
Onnx onnx |
Mon, 26 Oct 2026 17:45:00 +0000
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| Description | 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. | |
| Title | ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank | |
| Weaknesses | CWE-125 | |
| References |
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| Metrics |
cvssV3_1
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Projects
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Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-10-26T19:48:35.202Z
Reserved: 2026-10-23T20:21:45.107Z
Link: CVE-2026-115920
Updated: 2026-10-26T19:45:39.435Z
Status : Awaiting Analysis
Published: 2026-10-26T18:17:39.800
Modified: 2026-10-26T20:17:52.137
Link: CVE-2026-115920
No data.
OpenCVE Enrichment
Updated: 2026-10-26T19:00:08Z