Out-of-bounds Read Affecting onnx package, versions [1.2.1,1.22.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-PYTHON-ONNX-21755376
- published27 Oct 2026
- disclosed26 Oct 2026
- creditMinicoAI
Introduced: 26 Oct 2026
NewCVE-2026-115920 (opens in a new tab)How to fix?
Upgrade onnx to version 1.22.0 or higher.
Overview
onnx is an Open Neural Network Exchange
Affected versions of this package are vulnerable to Out-of-bounds Read via invalid input shapes supplied to the maxUnpoolShapeInference and convTransposeShapeInference functions in onnx/defs/nn/defs.cc and onnx/defs/nn/old.cc. When an attacker provides a rank-0 or rank-1 indices tensor to MaxUnpool, or a weight or input tensor with fewer than 3 dimensions to ConvTranspose, the shape inference code accesses out-of-bounds dimension indices, causing a crash.