GHSA-48m4-24cq-37qf: onnx (CVE-2026-115919)

Package	Ecosystem	Affected	Fixed in
onnx	PyPI	<1.22.0	1.22.0

Machine-written summary

Summary written by Claude Haiku from the source advisory. Not reviewed by a person.

The ONNX package before 1.22.0 has an out-of-bounds read in shape inference for old-opset RNN, GRU, and LSTM nodes (opsets 1 to 6) when the first input has a rank other than three. An attacker who can supply a crafted model that passes the ONNX checker and is processed by infer_shapes() can crash the process, causing denial of service; the source reports no confidentiality or integrity impact. Upgrade to ONNX 1.22.0 or later, which validates the input rank before reading dimensions.

Written 31 Oct 2026.

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

Score	Rating	CVSS	Vector	Source
6.2	Medium	3.1	CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H	CNA (GitHub_M)

CISA KEV Not listed.
EPSS 0.0018, the 7th percentile, on 5 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

31 Oct 2026, 14:07 UTC First seen by agentprime
31 Oct 2026, 14:07 UTC Confirmed by OSV

Sources

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.