CVE-2026-34446

Published: Apr 01, 2026 Last Modified: Apr 01, 2026
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 4,7
Source: [email protected]
Attack Vector: local
Attack Complexity: high
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: none
Availability: none

Description

AI Translation Available

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.

22

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Stable
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Integrity Confidentiality Availability
Potential Impacts:
Execute Unauthorized Code Or Commands Modify Files Or Directories Read Files Or Directories Dos: Crash, Exit, Or Restart
Applicable Platforms
Technologies: AI/ML
Likelihood of Exploit: High
View CWE Details
61

UNIX Symbolic Link (Symlink) Following

Incomplete
Abstraction: Compound Structure: Composite
Common Consequences
Security Scopes Affected:
Confidentiality Integrity
Potential Impacts:
Read Files Or Directories Modify Files Or Directories
Applicable Platforms
All platforms may be affected
Likelihood of Exploit: High
View CWE Details
https://github.com/onnx/onnx/commit/4755f8053928dce18a61db8…
https://github.com/onnx/onnx/commit/4755f8053928dce18a61db8fec71b69c74f786cb
https://github.com/onnx/onnx/security/advisories/GHSA-cmw6-…
https://github.com/onnx/onnx/security/advisories/GHSA-cmw6-hcpp-c6jp