ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack
What's the issue
Passing silent=True to onnx.hub.load() kills all trust warnings and user prompts. This means a model can be downloaded from any unverified GitHub repo with zero user awareness.
if not _verify_repo_ref(repo) and not silent:
# completely skipped when silent=True
print("The model repo... is not trusted")
if input().lower() != "y":
return NoneOn top of that, the SHA256 integrity check is useless here — it validates against a manifest that lives in the same repo the attacker controls, so the hash will always match.
Impact
Any pipeline using hub.load() with silent=True and an external repo string is silently loading whatever the repo owner ships. If that model executes arbitrary code on load, the attacker has access to the machine.
Resolved by removing the feature
References
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | onnx | < 1.21.0rc1 | 1.21.0rc1 |
References
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N- Weakness (CWE)
CWE-345, CWE-494, CWE-693- Platform
- Python (PyPI)
- Package
onnx- Disclosed
- 16.03.2026
- Updated
- 11.10.2026 15:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-103 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-hqmj-h5c6-369m - CC BY 4.0
Vulnerability history: onnx
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 13
- First → latest
- 01.2023 07.2026
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 1
- High 7
- Medium 4
- Low 1
Disclosures per year
- 2023: 1
- 2024: 3
- 2025: 1
- 2026: 8
-
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