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CVE-2026-115922: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior…

Occurred
Oct 26, 2026
Published
Oct 26, 2026
Source
NVD CVE

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.

Tags

  • CVE
  • CVE-2026-115922
  • cvss:MEDIUM

Classification

Category confidence: 90%
Severity confidence: 90%

Rationale: CVE describes a memory exhaustion vulnerability in ONNX library, not a direct AI safety incident.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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