CVE-2026-115919

MEDIUM
MEDIUM Priority: 0.01 BB Relevance: 47/100
Published: 2026-10-26 Modified: 2026-10-26 First seen: 2026-10-29 Status: active

Attack Surface

Low Complexity No Auth No Interaction

CVSS Vector Breakdown

AV: Local
AC: Low
PR: None
UI: None
S: Unchanged
C: None
I: None
A: 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.

Weakness Classification (1)

Bug Bounty Relevance

47 / 100
✓ No authentication
✓ Low complexity
✓ No user interaction

CVSS Score

6.2 / 10.0 v3.1
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS — Exploitation Probability

0.18%
Raw Score 0.001780
Percentile 7.4%
Date 2026-10-29

EPSS Trend

2026-10-29
0.00178
2026-10-28
0.00178

Intelligence Sources

mitre ref →
nvd ref →