A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted serialized configuration data in a nested code path. Specifically, when loading a LightGlue model using `AutoModel.from_pretrained()` with `trust_remote_code=False`, the `LightGlueConfig` reads the `trust_remote_code` value from the untrusted `config.json` file and propagates it into nested `AutoConfig.from_pretrained()` calls. This results in the execution of attacker-provided Python modules, even when the victim explicitly disables remote code execution. The vulnerability poses a high risk for environments such as API inference servers, research notebooks, CI/CD pipelines, and model evaluation workers, potentially leading to credential theft, lateral movement, or persistence/backdoor deployment.
References
Configurations
History
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Information
Published : 2026-06-03 14:16
Updated : 2026-08-28 16:18
NVD link : CVE-2026-5241
Mitre link : CVE-2026-5241
CVE.ORG link : CVE-2026-5241
JSON object : View
Products Affected
huggingface
- transformers
CWE
CWE-829
Inclusion of Functionality from Untrusted Control Sphere