Is CVE-2026-115919 exploited in the wild?

No. Junglewise Threat Intelligence has no report of CVE-2026-115919 being exploited in the wild.

How severe is CVE-2026-115919?

Medium severity, with a CVSS score of 6.2, published 26 October 2026.

Which products and versions are affected?

ONNX prior to 1.22.0; onnx (PyPI) <= 1.21.0, ECOSYSTEM:introduced=0,fixed=1.22.0.

Is there a fix for CVE-2026-115919?

Yes. onnx (PyPI): upgrade to 1.22.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

How is CVE-2026-115919 attacked?

It is attacked over the network, in a software library.

Am I affected by CVE-2026-115919?

Check whether you run ONNX or onnx (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

CVE-2026-115919: ONNX out-of-bounds read in RNN shape inference

Q: Is there a fix for CVE-2026-115919?

Yes. onnx (PyPI): upgrade to 1.22.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

Q: How is CVE-2026-115919 attacked?

It is attacked over the network, in a software library.

Q: Am I affected by CVE-2026-115919?

Check whether you run ONNX or onnx (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

CVE-2026-115919 · Severity: medium · CVSS 6.2 · Published 2026-10-26

ONNX is a standard format for sharing machine learning models across different frameworks. A vulnerability in the shape inference function for recurrent neural networks (RNN, LSTM, GRU) can crash applications when they process malformed model files. An attacker could cause a denial of service by providing a specially crafted model file that passes validation but triggers the crash during processing.

Technologies: ONNX, onnx (PyPI). Vendors: ONNX, PyPI.

Quick answers

Is CVE-2026-115919 exploited in the wild?: No. Junglewise Threat Intelligence has no report of CVE-2026-115919 being exploited in the wild.
How severe is CVE-2026-115919?: Medium severity, with a CVSS score of 6.2, published 26 October 2026.
Which products and versions are affected?: ONNX prior to 1.22.0; onnx (PyPI) <= 1.21.0, ECOSYSTEM:introduced=0,fixed=1.22.0.
Is there a fix for CVE-2026-115919?: Yes. onnx (PyPI): upgrade to 1.22.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-115919 attacked?: It is attacked over the network, in a software library.
Am I affected by CVE-2026-115919?: Check whether you run ONNX or onnx (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

onnx (PyPI): upgrade to 1.22.0 or later
```
pip install "onnx>=1.22.0"
```

Technical details

An out-of-bounds (OOB) read vulnerability exists in RNNShapeInference_opset1_to_6() in onnx/defs/rnn/old.cc. When infer_shapes() processes RNN, LSTM, or GRU nodes at opsets 1–6 with a first input tensor having fewer than 3 dimensions, the function accesses dim(0) and dim(1) without verifying rank, causing SIGSEGV or SIGABRT. The malformed model can bypass check_model() validation and only triggers during shape inference on untrusted models.

Affected products

ONNX ONNX prior to 1.22.0

Identifiers

CVE-2026-115919
GHSA-48m4-24cq-37qf

Timeline

2026-10-26: disclosed

References

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