CVE-2026-34445ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.

Descripción

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.

Datos: CVE.org, NVD, CISA KEV, FIRST EPSS, Ubuntu. Se publican tal como los indican las fuentes, en inglés.

Productos y versiones afectados

Referencias y parches

• https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9 PatchVendor Advisory
• https://github.com/onnx/onnx/pull/7751 Issue TrackingPatch
• https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b Patch