CVE-2026-63632 ONNX: Heap-Buffer-Overflow READ in Gemm Version Converter Adapter via Undersized Input Shape

Low 3.3 Published Updated

An attacker can cause a denial of service via heap buffer overflow in ONNX version converter when processing malformed Gemm nodes with undersized input shapes.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Local or same network only
Victim action needed
A user has to click or open something
Fix
Available

What is CVE-2026-63632?

CVE-2026-63632 is a low-severity memory corruption vulnerability in onnx, published on 18 Aug 2026. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link.

Official description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.3.0 until 1.22.0, onnx.version_converter.convert_version() can perform an out-of-bounds read in Gemm_7_6::adapt_gemm_7_6() in onnx/version_converter/adapters/gemm_7_6.h when a Gemm node has input tensors with fewer than two dimensions because B_shape[1], A_shape[0], or A_shape[1] is accessed without a rank check, potentially causing a process crash during an opset 7 to 6 downgrade. This issue is fixed in version 1.22.0.

Weakness: CWE-125

Which versions are affected by CVE-2026-63632?

3 open source packages ship an affected version, including onnx.

PackageAffectedFixed in
onnx PyPIFrom 1.3.01.22.0
onnx PyPIFrom 1.3.01.22.0
onnx PyPIFrom 1.3.01.22.0

How do I fix CVE-2026-63632?

Upgrade onnx to 1.22.0 or later.

Upgrade to the fixed version. Memory-safe languages, compiler hardening and fuzzing prevent most new cases. More about Memory corruption.

Is CVE-2026-63632 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-63632 exists.

Sources

Also known as AZL-96728, DEBIAN-CVE-2026-63632, ECHO-2342-84be-f23c, GHSA-p893-rvq9-2xf9, PYSEC-2026-3587, UBUNTU-CVE-2026-63632.

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