CVE-2026-115920: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability
Affects onnxSource GCVE Database
Not known to be exploited · CVSS 6.2 Medium · fixed in 1.22.0 : update onnx when convenient.
Data as of 28 Oct 2026, 22:58 UTC
- Patch
- Available – fixed in 1.22.0
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HExploitation evidence
Disclosed: evidence found.
CVE published 26 Oct 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Patches and advisories
Affected software
| Product | Affected | Fixed in |
|---|---|---|
Ubuntu 26.10onnxpkg:deb/ubuntu/onnx?arch=source&distro=stonkingOther threats | Affected
| Fixed in– |
Ubuntu 26.04 LTSonnxpkg:deb/ubuntu/onnx?arch=source&distro=resoluteOther threats | Affected
| Fixed in– |
Ubuntu Pro 24.04 LTSonnxpkg:deb/ubuntu/onnx?arch=source&distro=esm-apps/nobleOther threats | Affected
| Fixed in– |
Ubuntu 22.04 LTSonnxpkg:deb/ubuntu/onnx?arch=source&distro=jammyOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
This issue is fixed in ONNX version 1.22.0. Users are advised to upgrade to version 1.22.0 or later to remediate this vulnerability. No other mitigation or workaround is indicated.
Description
A vulnerability in Open Neural Network Exchange (ONNX) versions from 1.2.1 up to 1.22.0 allows a denial of service (DoS) via a crash during shape inference. The issue occurs when ConvTranspose shape inference processes a weight tensor with fewer than three dimensions without a kernel_shape attribute, leading to an invalid indexing operation. This flaw affects the convTransposeShapeInference_opset11() function and the current inference path. The vulnerability can be triggered by an untrusted model that passes the onnx.checker.check_model() validation but causes a crash in onnx.shape_inference.infer_shapes(). The issue is fixed in version 1.22.0.
References
- ubuntu.com/security/CVE-2026-115920 (opens in a new tab)
- cve.org/CVERecord?id=CVE-2026-115920 (opens in a new tab)
- github.com/cveproject/cvelistv5/tree/main/cves/2026/115xxx/cve-2026-115920.json (opens in a new tab)
- github.com/onnx/onnx/commit/2ec288908952eea9dcf48d4b197915e1f72c6abf (opens in a new tab)
- github.com/onnx/onnx/pull/7997 (opens in a new tab)
- github.com/onnx/onnx/releases/tag/v1.22.0 (opens in a new tab)
- github.com/onnx/onnx/security/advisories/ghsa-6pwm-x34p-fvj2 (opens in a new tab)
- nvd.nist.gov/vuln/detail/cve-2026-115920 (opens in a new tab)
- security-tracker.debian.org/tracker/cve-2026-115920 (opens in a new tab)