Uncontrolled Memory Allocation Affecting onnx package, versions *
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-DEBIAN14-ONNX-21755524
- published27 Oct 2026
- disclosed26 Oct 2026
Introduced: 26 Oct 2026
NewCVE-2026-115922 (opens in a new tab)How to fix?
There is no fixed version for Debian:14 onnx.
NVD Description
Note: Versions mentioned in the description apply only to the upstream onnx package and not the onnx package as distributed by Debian.
See How to fix? for Debian:14 relevant fixed versions and status.
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, _unpack_2bit() and _unpack_4bit() resize unpacked arrays according to attacker-controlled TensorProto.dims without verifying that raw_data or int32_data encodes the declared number of elements. Materializing an untrusted UINT2, INT2, UINT4, INT4, or FLOAT4E2M1 tensor through onnx.numpy_helper.to_array() or onnx.reference.ReferenceEvaluator can therefore expand a small packed payload into a disproportionately large allocation and exhaust memory. This issue is fixed in version 1.22.0.
References
- https://security-tracker.debian.org/tracker/CVE-2026-115922
- https://github.com/onnx/onnx/commit/05c1bc3bceceb8d3cf11e9e7fc7f19f971c44988
- https://github.com/onnx/onnx/commit/8de2cf6aa47928e6515ac6d9e1a8b4758886a7df
- https://github.com/onnx/onnx/commit/dce5876d6cc6cc30157af7d26a752ef44976da8e
- https://github.com/onnx/onnx/pull/8033
- https://github.com/onnx/onnx/pull/8038
- https://github.com/onnx/onnx/pull/8066
- https://github.com/onnx/onnx/releases/tag/v1.22.0
- https://github.com/onnx/onnx/security/advisories/GHSA-q69g-f4f5-v8m7