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CVE-2026-5241 A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an…

Description

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.

Affected products and versions

Product Affected versions Fixed in
huggingface/transformers 5.5 earliest → < 5.5.0 5.5.0
Red Hat AI Inference Server Versions not published
Red Hat Ansible Automation Platform 2 Versions not published
Red Hat Enterprise Linux AI (RHEL AI) 3 Versions not published
Red Hat OpenShift AI (RHOAI) Versions not published
OpenShift Lightspeed Versions not published
Red Hat OpenShift AI 3.4 1786611435 earliest → < 1786611435 1786611435
Red Hat OpenShift AI 3.3 1782471606 earliest → < 1782471606 1782471606
Red Hat OpenShift AI 2.25 1782475830 earliest → < 1782475830 1782475830

References

Timeline

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