CVE-2026-34445— Open Neural Network Exchange 安全漏洞

ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H

输入验证不恰当

Open Neural Network Exchange 安全漏洞

Open Neural Network Exchange是Open Neural Network Exchange开源的一个开放的生态系统，它使 AI 开发人员能够随着项目的发展选择合适的工具。 Open Neural Network Exchange 1.21.0之前版本存在安全漏洞，该漏洞源于ONNX中的ExternalDataInfo类使用Python的setattr()函数从ONNX模型文件直接加载元数据，但未检查文件中的键是否有效，可能导致攻击者通过特制恶意模型覆盖内部对象属性。

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