Out-of-bounds Read 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-21755378
- published27 Oct 2026
- disclosed26 Oct 2026
- creditMinicoAI
Introduced: 26 Oct 2026
NewCVE-2026-115919 (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 RNNShapeInference_opset1_to_6 in onnx/defs/rnn/old.cc when processing a GRU, LSTM, or RNN node at opsets 1-6 whose first input has fewer than 3 dimensions. The function accesses dim(0) and dim(1) without first verifying the rank of the input shape, allowing a malformed model to trigger an out-of-bounds read. In Release builds this causes a SIGSEGV, and in debug/ASan builds it triggers a protobuf CHECK failure (SIGABRT), crashing the process. A malformed model that triggers this crash passes check_model() without errors.