CVE-2026-115922

MEDIUM
MEDIUM Priority: 0.01 BB Relevance: 47/100
Published: 2026-10-26 Modified: 2026-10-26 First seen: 2026-10-29 Status: active

Attack Surface

Low Complexity No Auth No Interaction

CVSS Vector Breakdown

AV: Local
AC: Low
PR: None
UI: None
S: Unchanged
C: None
I: None
A: High

Description

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.

Weakness Classification (1)

Bug Bounty Relevance

47 / 100
✓ No authentication
✓ Low complexity
✓ No user interaction

CVSS Score

6.2 / 10.0 v3.1
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS — Exploitation Probability

0.13%
Raw Score 0.001310
Percentile 2.7%
Date 2026-10-29

EPSS Trend

2026-10-29
0.00131
2026-10-28
0.00131

Intelligence Sources

mitre ref →
nvd ref →