A AegiFlow
MEDIUMCVSS 6.2EPSS 0.1%

CVE-2026-115922

CVE-2026-115922 updated by NVD

Published
2026-10-28
Modified
2026-11-01
EPSS percentile
3%
Sources
github-advisory, nvd

Summary

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.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIonnx—1.22.0

Remediation: Upgrade to 1.22.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.