CVE-2026-34445
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
8.6
HIGH
CVSS 3.1
EPSS 0.29%
描述
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.
如何修補 CVE-2026-34445
要修補 CVE-2026-34445,請將受影響套件升級到下列已修補版本。
- —升級至 1.21.0 或更新版本
- —升級至 1.21.0 或更新版本
CVE-2026-34445 正在被利用嗎?
低 — EPSS 為 0.3%,目前沒有觀察到大規模利用活動。
受影響套件(2)
- from 0, < 1.21.0
- from 0, < 1.21.0
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | HIGH8.6 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H |