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Vulnerabilities

CVE-2026-34445 | BDVDB-2026-324206 Detail

onnxonnx

Description#

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.

Impact#

Per CVSS v3.1: confidentiality impact low, integrity impact low, availability impact high. Attack vector: network.

Weaknesses#

  • CWE-20 Improper Input Validation
  • CWE-400 Uncontrolled Resource Consumption
  • CWE-915 Improperly Controlled Modification of Dynamically-Determined Object Attributes

References#

Exploit#

No public exploit known

History#

  1. Version 1Record published in the CVE List.