CVE-2026-27489

Published: Apr 01, 2026 Last Modified: Apr 01, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,7
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Confidentiality: N/A
Integrity: N/A
Availability: N/A

Description

AI Translation Available

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0.

23

Relative Path Traversal

Draft
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, Not Technology-Specific, Web Based
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-3r9x-…
https://github.com/onnx/onnx/security/advisories/GHSA-3r9x-f23j-gc73