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HIGH · 7.5

CVE-2026-27489

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 outsid...

Vulnerability Description

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.

CVSS Score

7.5

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
NONE
Availability
NONE

Affected Products

VendorProductVersions
LinuxfoundationOnnx< 1.21.0

Related Weaknesses (CWE)

CWE-61CWE-23

References

FAQ

What is CVE-2026-27489?

CVE-2026-27489 is a vulnerability with a CVSS score of 7.5 (HIGH). 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 outsid...

How severe is CVE-2026-27489?

CVE-2026-27489 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2026-27489?

Check the references section above for vendor advisories and patch information. Affected products include: Linuxfoundation Onnx.