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
- huntr.com huntr.com
- github.com github.com
Timeline
- Published
- Last modified