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CVE-2026-34445
Published:April 01, 2026
Updated:April 20, 2026
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.
Affected Packages
https://github.com/onnx/onnx.git (GITHUB):
Affected version(s) >=v0.1 <v1.21.0
Fix Suggestion:
Update to version v1.21.0
onnx (PYTHON):
Affected version(s) >=0.1 <1.21.0
Fix Suggestion:
Update to version 1.21.0
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CVSS v4
Base Score:
8.8
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
LOW
Vulnerable System Integrity
LOW
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
8.6
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
LOW
Integrity
LOW
Availability
HIGH
Weakness Type (CWE)
Improperly Controlled Modification of Dynamically-Determined Object Attributes
Uncontrolled Resource Consumption
Improper Input Validation
EPSS
Base Score:
0.14