CVE-2026-1839— Arbitrary Code Execution via Unsafe torch.load() in Trainer Checkpoint Loading in huggingface/transformers

Arbitrary Code Execution via Unsafe torch.load() in Trainer Checkpoint Loading in huggingface/transformers

A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary code execution. The `_load_rng_state()` method in `src/transformers/trainer.py` at line 3059 calls `torch.load()` without the `weights_only=True` parameter. This issue affects all versions of the library supporting `torch>=2.2` when used with PyTorch versions below 2.6, as the `safe_globals()` context manager provides no protection in these versions. An attacker can exploit this vulnerability by supplying a malicious checkpoint file, such as `rng_state.pth`, which can execute arbitrary code when loaded. The issue is resolved in version v5.0.0rc3.

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可信数据的反序列化

Hugging Face Transformers 安全漏洞

Hugging Face Transformers是Hugging Face开源的一个用于定义最先进机器学习模型的框架，涵盖文本、视觉、音频和多模态模型，可用于推理和训练。 Hugging Face Transformers存在安全漏洞，该漏洞源于Trainer类的_load_rng_state方法调用torch.load时未设置weights_only参数，可能导致攻击者通过恶意检查点文件执行任意代码。

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