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Fencer Vulns
high 8.6

CVE-2026-28500 json

ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack

published 2026-03-16 7 mo ago modified 2026-09-10 1 mo ago also GHSA-hqmj-h5c6-369m , PYSEC-2026-103 , EUVD-2026-12698

cvss
8.6
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.3%
EPSS 0.3% chance of exploitation in 30 days, percentile 26%
public exploits
0
none known

Summary

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.

Patch / fix

  • pypi onnx 1.21.0rc1
  • Red Hat Red Hat OpenShift AI 2.25 1780069146, 1780069222, 1780069226, 1780078312, 1780078388, 1780078413, 1780078414, 1780078416, 1780078429, 1780078629, 1780078632, 1780417775

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-28500 updated cvss 8.6

onnx: ONNX: Untrusted Model Repository Warnings Suppressed

  • Red Hat OpenShift AI (RHOAI) rhoai/odh-openvino-model-server-rhel9
    affected: workaround, no fix available
  • Red Hat OpenShift AI 2.25 rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 1780078429, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 1780078632, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 1780078413, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 1780078629, rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 1780069222, rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 1780078312, +8 more
    fixed: vendor fix RHSA-2026:24977
  • Red Hat OpenShift AI 3.3 rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 1789651383, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 1789651379, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 1789651387, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 1789651385, rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 1790260954, rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 1790345193, +8 more
    fixed: vendor fix RHSA-2026:73987
  • Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1780513840, rhoai/odh-vllm-cpu-rhel9 1780069252, rhoai/odh-dashboard-rhel9 1780467029, rhoai/odh-modelmesh-rhel9 1780069506, rhoai/odh-operator-bundle 1780514621, rhoai/odh-vllm-cuda-rhel9 1780069320, +57 more Red Hat OpenShift AI 3.3 rhoai/odh-cli-rhel9 1790070206, rhoai/rhai-cli-rhel9 1790070206, rhoai/odh-mlflow-rhel9 1789653606, rhoai/odh-trainer-rhel9 1790136369, rhoai/odh-maas-api-rhel9 1790131842, rhoai/odh-mlserver-rhel9 1789121365, +63 more
    not affected: vulnerable code not present

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

CISA SSVC

Exploitation
Proof of concept is public
Automatable
yes
Technical impact
partial
Assessed
7 mo ago

Exploit prediction

0.33% chance of exploitation in the next 30 days, higher than 26% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 8.6 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
CISA ADP 3.1 8.6 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
NVD 3.1 9.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
GitHub 3.1 8.6 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
OSV 3.1 9.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Affected packages

ecosystem package affected fixed in
pypi onnx
<1.21.0rc1
1.21.0rc1

Affected products

  • onnx onnx
  • Red Hat Red Hat OpenShift AI 2.25
  • Red Hat Red Hat OpenShift AI (RHOAI)

Classification

Weakness
  • CWE-345 Insufficient Verification of Data Authenticity
  • CWE-494 Download of Code Without Integrity Check
  • CWE-693 Protection Mechanism Failure
  • CWE-829 Inclusion of Functionality from Untrusted Control Sphere

References

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.