Memory Allocation with Excessive Size Value Affecting onnx package, versions [,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.
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Test your applications- Snyk IDSNYK-PYTHON-ONNX-21755379
- published27 Oct 2026
- disclosed26 Oct 2026
- creditUnknown
Introduced: 26 Oct 2026
NewCVE-2026-115922 (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 Memory Allocation with Excessive Size Value via the ONNX model parser in onnx/defs/nn/defs.cc and related definition files, where a model can declare an extremely large tensor dimension (e.g. 700,000,000) while containing only a minimal packed payload, causing the checker or shape-inference logic to attempt allocation or iteration proportional to the declared size and crash the process. An attacker can trigger this by supplying a small model file with an inflated dimension value to any application that parses untrusted ONNX models.