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
Configurations
No configuration.
History
26 Oct 2026, 18:17
| Type | Values Removed | Values Added |
|---|---|---|
| New CVE |
Information
Published : 2026-10-26 18:17
Updated : 2026-10-30 18:17
NVD link : CVE-2026-115922
Mitre link : CVE-2026-115922
CVE.ORG link : CVE-2026-115922
JSON object : View
Products Affected
No product.
CWE
CWE-789
Memory Allocation with Excessive Size Value
