EUVD-2026-17987

| CVE-2026-34446 MEDIUM
2026-04-01 GitHub_M GHSA-cmw6-hcpp-c6jp
4.7
CVSS 3.1
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CVSS Vector

CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N
Attack Vector
Local
Attack Complexity
High
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-2026-17987
CVE Published
Apr 01, 2026 - 17:37 nvd
MEDIUM 4.7

Description

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.

Analysis

ONNX versions prior to 1.21.0 allow local attackers to read arbitrary files by exploiting a hardlink-based path traversal vulnerability in onnx.load(). The vulnerability bypasses existing symlink protections because hardlinks appear as regular files to filesystem checks. …

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Priority Score

24
Low Medium High Critical
KEV: 0
EPSS: +0.0
CVSS: +24
POC: 0

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EUVD-2026-17987 vulnerability details – vuln.today

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