CVE-2026-115919
MEDIUM
6,2
Source: [email protected]
Attack Vector: local
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: none
Integrity: none
Availability: high
Description
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.
125
Out-of-bounds Read
DraftCommon Consequences
Security Scopes Affected:
Confidentiality
Availability
Other
Potential Impacts:
Read Memory
Bypass Protection Mechanism
Dos: Crash, Exit, Or Restart
Varies By Context
Applicable Platforms
Languages:
Memory-Unsafe, C, C++
Technologies:
ICS/OT
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