CVE-2026-28500

Description

A flaw was found in Open Neural Network Exchange (ONNX), an open standard for machine learning interoperability. A security control bypass exists in the onnx.hub.load() function due to improper logic in its repository trust verification. An attacker can exploit this by providing a malicious model, which, when loaded with the silent=True parameter, suppresses all security warnings. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks.

Mitigation

Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.

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 Score8.69.18.6
Attack VectorNetworkNetworkNetwork
Attack ComplexityLowLowLow
Privileges RequiredNoneNoneNone
User InteractionNoneNoneNone
ScopeChangedUnchangedChanged
ConfidentialityHighHighHigh
Integrity ImpactNoneHighNone
Availability ImpactNoneNoneNone

Vector

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

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

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

Understanding the Weakness (CWE)

Confidentiality,Integrity,Availability

Technical Impact: Execute Unauthorized Code or Commands

An attacker could insert malicious functionality into the program by causing the program to download code that the attacker has placed into the untrusted control sphere, such as a malicious web site. This could enable the injection of malware, information exposure by granting excessive privileges or permissions to the untrusted functionality, DOM-based XSS vulnerabilities, stealing user's cookies, open redirect to malware (CWE-601), etc.

Frequently Asked Questions

Want to get errata notifications? Sign up here.