CVE-2026-5241 — Policy Bypass in LightGlue Nested Config Resolution in huggingface/transformers

Description (CNA)

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 (CNA)

Vendor / product	Versions
huggingface / huggingface/transformers	affected unspecified before 5.5.0

CWE

CWE-829

References

ADP enrichment

CISA-ADP

No English description supplied.

https://huntr.com/bounties/ceb3ce1a-4c45-497a-b25e-cb9a7685e619

redhat-SADP

A flaw was found in python-transformers. An attacker can exploit this vulnerability by providing a malicious model repository. During model initialization, the `trust_remote_code` parameter, intended to prevent remote code execution, is overridden by untrusted configuration data. This allows the attacker to execute arbitrary code, potentially leading to credential theft, unauthorized access, or the deployment of backdoors.