CVE-2026-34446
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, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the filesystem. This issue has been patched in version 1.21.0.
Affected Packages
https://github.com/onnx/onnx.git (GITHUB):
Affected version(s) >=v0.1 <v1.21.0Fix Suggestion:
Update to version v1.21.0onnx (PYTHON):
Affected version(s) >=0.1 <1.21.0Fix Suggestion:
Update to version 1.21.0Related Resources (4)
Do you need more information?
Contact UsCVSS v4
Base Score:
5.7
Attack Vector
LOCAL
Attack Complexity
HIGH
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
PASSIVE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
NONE
Vulnerable System Availability
NONE
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
4.7
Attack Vector
LOCAL
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
NONE
Availability
NONE
Weakness Type (CWE)
EPSS
Base Score:
0.01
