CVE-2026-28500

CRITICAL EPSS 16.9%
Published Mar 18, 20263mo ago · Modified Jun 17, 20261w ago
9.1 CVSS 3.1
Critical
Find Similar
Published Mar 18, 2026 3mo ago
Last Modified Jun 17, 2026 1w ago

Description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.

CVSS Details

Base Score
9.1
Exploitability
3.9
Impact
5.2
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction None
Scope Unchanged
Confidentiality High
Integrity High
Availability None

Threat Intelligence

EPSS Exploit Probability
16.9% percentile
Exploit & Patch Status
No Known Exploit
Patch Available

Weaknesses 3

CWE-345
CWE-494
CWE-693

Affected Products 1

VendorProductVersionRange
linuxfoundationonnx* ≤1.20.1

References 2

  • github.com https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md
    Patch
  • github.com https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m
    Vendor Advisory

Remediation

  • github.com https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md
    Patch