EUVD-2026-17989

| CVE-2026-34447 MEDIUM
2026-04-01 GitHub_M GHSA-p433-9wv8-28xj
5.5
CVSS 3.1
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CVSS Vector

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

4
Patch Released
Apr 02, 2026 - 02:30 nvd
Patch available
Analysis Generated
Apr 01, 2026 - 18:15 vuln.today
EUVD ID Assigned
Apr 01, 2026 - 18:15 euvd
EUVD-2026-17989
CVE Published
Apr 01, 2026 - 17:39 nvd
MEDIUM 5.5

Description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.

Analysis

ONNX versions prior to 1.21.0 allow local attackers to read arbitrary files outside the model directory through symlink traversal during external data loading, requiring user interaction to load a malicious model file. The vulnerability has a CVSS score of 5.5 (medium severity) and is classified as information disclosure with confirmed patch availability in version 1.21.0.

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Priority Score

28
Low Medium High Critical
KEV: 0
EPSS: +0.0
CVSS: +28
POC: 0

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EUVD-2026-17989 vulnerability details – vuln.today

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