Open Neural Network Exchange(ONNX)是机器学习互操作性的开放标准。在版本 1.4.0 至 1.22.0 期间, 、 和 未能安全地验证必需的 属性。缺失该属性时,系统会将其作为空指针解引用;而负值则会被转换为 类型,从而触发异常的大规模内存分配路径。因此,不可信的模型可能导致形状推断过程终止或中断,包括那些能通过 验证的负值模型。该问题已在版本 1.22.0 中修复。
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Login to generate AI POC| CVE-2026-115922 | 6.2 MEDIUM | ONNX: Denial of service via unchecked expansion of packed sub-byte tensors in ONNX Python |
| CVE-2026-115920 | 6.2 MEDIUM | ONNX: Out-of-bounds read in ConvTranspose shape inference via undersized weight rank |
| CVE-2026-115919 | 6.2 MEDIUM | ONNX: Out-of-Bounds Read in RNN/GRU/LSTM Shape Inference (Old Opsets, Missing Rank Check) |