CVE-2026-1159216.2MediumCWE-195

CVE-2026-115921: ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute

onnx

Affected: onnx · Exploitation: unlikely (under 1%)

Not in CyberSIXT coverage yet: no article names this CVE. This page shows the public record.

0.1%probability of exploitation in the next 30 days

2nd percentile

050100

Higher than 2% of scored CVEs

6.2MediumCVSS 3.1

LowMediumHighCrit.

DescriptionCVE.org

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.4.0 until 1.22.0, ScanInferenceFunction, ScanInferenceFunction_opset8, and ScanInferenceFunction_opset9 do not safely validate the required num_scan_inputs attribute. A missing attribute is dereferenced as a null pointer, while a negative value is converted to size_t and can reach an exceptional oversized allocation path. An untrusted model can therefore terminate or disrupt shape inference, including a negative-value model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.

Affected products1

From the CVE record. A product or version that is not listed is unknown, not unaffected.

onnx · onnx>= 1.4.0, < 1.22.0

On the Atlas

Every published CVE is on the CyberSIXT Atlas, grouped by weakness, vendor and month.

Open the Atlas

Exploitation: Unlikely (under 1%). EPSS under 1%, or no score yet.
CISA KEV: Not listed
Public check: No public nuclei template
Weakness: Signed to Unsigned Conversion Error · Memory Corruption
Vendor: onnx
Published: October 2026
Band: Unlikely (under 1%), October 2026

CoverageNo articles yet

No CyberSIXT article names CVE-2026-115921 yet, so there is no coverage timeline, action brief or change log for it. Everything on this page comes from the public CVE record, CISA KEV, EPSS and the nuclei template index. Search the archive or see the CVEs in the news.