CVE-2026-34445

Description

A flaw was found in Open Neural Network Exchange (ONNX). An attacker could exploit a vulnerability in how ONNX processes model metadata, specifically within the ExternalDataInfo class. By crafting a malicious ONNX model, an attacker could overwrite internal object properties, leading to a denial of service, which makes the system unavailable. This vulnerability could also result in limited information disclosure or data alteration.

Statement

A flaw in the ONNX ExternalDataInfo class allows an attacker to craft a malicious model that can overwrite internal object properties, leading to a denial of service or potential information disclosure. This vulnerability affects Red Hat OpenShift AI and Fedora when processing untrusted ONNX models.

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).

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score7.3N/A8.6
Attack VectorLocalN/ANetwork
Attack ComplexityLowN/ALow
Privileges RequiredNoneN/ANone
User InteractionRequiredN/ANone
ScopeUnchangedN/AUnchanged
ConfidentialityLowN/ALow
Integrity ImpactHighN/ALow
Availability ImpactHighN/AHigh

Vector

Red Hat: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:H

cve.org: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H

Understanding the Weakness (CWE)

Integrity

Technical Impact: Modify Application Data

An attacker could modify sensitive data or program variables.

Integrity

Technical Impact: Execute Unauthorized Code or Commands

Other,Integrity

Technical Impact: Varies by Context; Alter Execution Logic

Frequently Asked Questions

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