CVE-2026-115921 json
ONNX: Null Pointer Dereference in ScanInferenceFunction Due to Missing Required Attribute
published 14d ago modified 10d ago also EUVD-2026-110046 , GHSA-m4pr-6v3c-6fgr
- cvss
- 6.2
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.1%
- EPSS 0.1% chance of exploitation in 30 days, percentile 2%
- public exploits
- 0
- none known
Summary
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.
Patch / fix
- pypi onnx 1.22.0
- onnx onnx 1.22.0
- linuxfoundation onnx 1.22.0
- github.com/onnx/onnx@dd6bc92 commit
- github.com/onnx/onnx#7916 pull request
- github.com/onnx/onnx/releases/tag/v1.22.0 release
Is CVE-2026-115921 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerVendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-115921 updated cvss 6.2
onnx: onnx: Denial of Service via improper attribute validation in Scan shape inference
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-mlserver-rhel9, rhoai/odh-mlserver-cuda-rhel9, rhoai/odh-openvino-model-server-rhel9, rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9, +11 moreaffected: workaround, no fix available “Fix deferred”
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 10d ago
Exploit prediction
0.13% chance of exploitation in the next 30 days, higher than 2% of all scored CVEs (FIRST EPSS, 2026-11-09).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.2 | CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 6.2 | CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | onnx | >=1.4.0, <1.22.0 |
1.22.0 |
Affected products
- onnx onnx
Classification
References
-
github.com
/onnx/onnx/pull/7916
web
-
github.com
/onnx/onnx/commit/dd6bc92ea39fd2274fd671f0734b0b8b558356f5
web
-
github.com
/onnx/onnx/security/advisories/GHSA-m4pr-6v3c-6fgr
web
-
github.com
/onnx/onnx/releases/tag/v1.22.0
web
-
nvd.nist.gov
/vuln/detail/CVE-2026-115921
advisory
-
github.com
/onnx/onnx
package
Sources
- CVE List CVE-2026-115921
- GitHub Advisory GHSA-m4pr-6v3c-6fgr
- NVD CVE-2026-115921
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.