CVE-2026-115922: medium-severity vulnerability in onnx
ONNX: Denial of service via unchecked expansion of packed sub-byte tensors in ONNX Python APIs
Published · Updated
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13Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 6.2epss 0.1%
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.
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Affected products
onnx · onnxRelated CVEs — onnx
In the same product, most dangerous first.
CVE-2024-27318HIGHCVE-2024-27318EPSS 1.2%CVE-2026-27489HIGHONNX: Path Traversal via SymlinkEPSS 0.6%CVE-2024-27319MEDIUMCVE-2024-27319EPSS 0.6%CVE-2026-28500HIGHONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain AttackEPSS 0.3%CVE-2026-34445HIGHONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.EPSS 0.3%CVE-2026-34447MEDIUMONNX: External Data Symlink TraversalEPSS 0.3%
References
https://github.com/onnx/onnx/commit/05c1bc3bceceb8d3cf11e9e7fc7f19f971c44988https://github.com/onnx/onnx/commit/8de2cf6aa47928e6515ac6d9e1a8b4758886a7dfhttps://github.com/onnx/onnx/commit/dce5876d6cc6cc30157af7d26a752ef44976da8ehttps://github.com/onnx/onnx/pull/8033https://github.com/onnx/onnx/pull/8038https://github.com/onnx/onnx/pull/8066https://github.com/onnx/onnx/releases/tag/v1.22.0https://github.com/onnx/onnx/security/advisories/GHSA-q69g-f4f5-v8m7