Vulnerability Information
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Vulnerability Title
ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack
Vulnerability 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 Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Vulnerability Type
对数据真实性的验证不充分
Vulnerability Title
ONNX 安全漏洞
Vulnerability Description
ONNX（Open Neural Network Exchange）是ONNX开源的一个机器学习互操作性的开放标准。 ONNX 1.20.1及之前版本存在安全漏洞，该漏洞源于onnx.hub.load()中存储库信任验证机制逻辑不当，可能绕过安全控制，导致零交互供应链攻击。
CVSS Information
N/A
Vulnerability Type
N/A