CVE-2026-115919

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.

CVSS v3 6.2 MEDIUM

6.2^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 2.5 / Impact : 3.6

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/onnx/onnx/commit/92e541266af5dd38cfa48aeb92206f4268a066cd
https://github.com/onnx/onnx/pull/7879
https://github.com/onnx/onnx/releases/tag/v1.22.0
https://github.com/onnx/onnx/security/advisories/GHSA-48m4-24cq-37qf

Configurations

No configuration.

History

26 Oct 2026, 18:17

Type	Values Removed	Values Added
New CVE

Information

Published : 2026-10-26 18:17

Updated : 2026-10-26 20:17

NVD link : CVE-2026-115919

Mitre link : CVE-2026-115919

CVE.ORG link : CVE-2026-115919

JSON object : View

Products Affected

No product.

CWE

CWE-125

Out-of-bounds Read

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