CVE-2026-44512
Description
A flaw was found in Open Neural Network Exchange (ONNX), an open standard for machine learning interoperability. This vulnerability allows a remote attacker to cause an unrecoverable denial of service (DoS) by providing a specially crafted untrusted model. The flaw occurs when the onnx.version_converter.convert_version() function attempts to process an Upsample node with zero inputs, leading to a null pointer dereference and a system crash.
Statement
This Moderate impact denial of service flaw in Open Neural Network Exchange (ONNX) can be triggered when processing a specially crafted untrusted model. A remote attacker could exploit this by providing a malicious model with an Upsample node having zero inputs, leading to a null pointer dereference and an unrecoverable system crash. This requires user interaction to process the untrusted model.
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
The following CVSS metrics and score provided are preliminary and subject to review.
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 6.5 | N/A | 5.5 |
| Attack Vector | Network | N/A | Local |
| Attack Complexity | Low | N/A | Low |
| Privileges Required | None | N/A | None |
| User Interaction | Required | N/A | Required |
| Scope | Unchanged | N/A | Unchanged |
| Confidentiality | None | N/A | None |
| Integrity Impact | None | N/A | None |
| Availability Impact | High | N/A | High |
Vector
Red Hat: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
cve.org: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
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