Open Neural Network Exchange(ONNX)是一项用于机器学习互操作性的开放标准。在 1.22.0 版本之前, 和 函数会根据攻击者控制的 对解压后的数组进行重缩放,却未验证 或 是否确实编码了声明的元素数量。因此,通过 或 实例化不可信的 UINT2、INT2、UINT4、INT4 或 FLOAT4E2M1 张量时,攻击者可将一个小型的压缩载荷扩展为不成比例的巨大内存分配,从而导致内存耗尽。该问题已在 1.22.0 版本中修复。
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| # | POC Description | Source Link | Shenlong Link |
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No public POC found.
Login to generate AI POC| CVE-2026-115921 | 6.2 MEDIUM | ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute |
| 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) |