CVE-2026-34445
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
CVSS Score
8.6
EPSS Score
0.0%
EPSS Percentile
0th
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.
| CWE | CWE-20 CWE-400 CWE-915 |
| Vendor | onnx |
| Product | onnx |
| Published | Apr 1, 2026 |
| Last Updated | Apr 1, 2026 |
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CVSS v3 Breakdown
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
High
Affected Versions
onnx / onnx
< 1.21.0