CVE-2026-115919Medium· 6.2▾ SunlitOpen Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 th…
▾ Sunlit zone — Low / medium · no exploitation signal
impact 34.1 · likelihood 0 · exploitation 0
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Stakeholder-Specific Vulnerability Categorization from CISA's ADP record at CVE.org: whether exploitation is observed, whether an attack can be automated, and how much of the system is at stake. The CVSS score shown above comes from the assigning CNA record, not NVD.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.
onnx < 1.22.0Refer to the linked advisories for vendor-supplied fixes and affected version ranges.
Connected by shared product, vendor, weakness, or advisory.
CVE-2026-115920Medium· 6.2ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank
CVE-2026-63632Low· 3.3Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability
CVE-2026-115921Medium· 6.2ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute
CVE-2026-115922Medium· 6.2ONNX: Denial of service via unchecked expansion of packed sub-byte tensors in ONNX Python APIs
CVE-2026-44512Medium· 5.5ONNX has Null Pointer Dereference in Upsample Version Converter Adapter (Zero Inputs)
CVE-2024-27318High· 7.5Onnx Directory Traversal vulnerability