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.
Fix
Nothing published yet: no patch, vendor advisory or mitigation reference on NVD, no vendor advisory in the News for this CVE, not in CISA's KEV, no fixed package version. BaselineWatch does not guess at one.
Change history 4
- StatusAwaiting Analysis → PublishedNVD modified 2026-10-26 17:31
- StatusPublished → Awaiting AnalysisNVD modified 2026-10-26 18:34
- StatusReceived → PublishedNVD modified 2026-10-26 17:31
- First seenCVSS 6.2NVD modified 2026-10-26 18:17
Affected (CPE criteria) 0
NVD has not attached CPE configurations yet.
References 8
- 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