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Vulnerabilities

Vulnerability · CVE-2026-28500

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability.

Published Mar 18, 2026 · catalog updated Jul 15, 2026 · Open Neural Network Exchange

Check if you run it

No confirmed exploitation is on record for CVE-2026-28500. EPSS is 0.32%. Act only if a listed version of Open Neural Network Exchange is installed.

Gaps on this record

  • The stored product name is a package slug. The name on this page is taken from the title (Open Neural Network Exchange).
  • No vendor fix or required action is stored. Compare the linked advisory before you change production.
Severity
Critical9.1
Known exploitation
Not in CISA/VulnCheck KEV
EPSS
0.32%
Remediation
Version ranges on file
Affected products
cpe linuxfoundation/onnx · stated onnx

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.

Are you affected?

Enter the version you run. The result uses only the ranges stored on this record.

The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.

  • cpe linuxfoundation/onnxversion unspecified
  • stated onnx<= 1.20.1

How to fix CVE-2026-28500

What to do

Three questions, each answered from this record only. Confirm the vendor advisory before you patch.

Should you patch?

No confirmed exploitation is on record for CVE-2026-28500. EPSS is 0.32%. Act only if a listed version of Open Neural Network Exchange is installed.

Which versions are affected?

Compare what you have installed with <= 1.20.1. Compare the installed version with the linked vendor advisory before you change production.

What should an analyst verify?

CWE-345: Insufficient Verification of Data Authenticity; CWE-494; CWE-693: Protection Mechanism Failure. EPSS 0.32%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.

Code

The project this record applies to. Exploit listings stay in References.

Timeline

Detection, updates, and resolution for this record.

  1. Mar 18, 2026 · NIST NVD

    Detected

    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 sup

  2. Jul 15, 2026 · NIST NVD

    Updated

    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 sup

Sources

  • CVE.orgVulnerability recordCVE-2026-28500

    Official CVE identifier

    cve.org
  • FIRST EPSSExploitation probabilityCVE-2026-28500

    30-day exploitation probability 0.3%

    first.org
  • NIST NVDVulnerability recordCVE-2026-28500

    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 d

    nvd.nist.gov

References

Freshness

Last verified in this catalog Oct 18, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.