CVE-2026-1839
HIGH
MEDIUM
Priority: 0.03
BB Relevance:
41/100
Published: 2026-04-07
Modified: 2026-10-26
First seen: 2026-10-29
Status: active
Attack Surface
Low Complexity
No Auth
Conf. Impact
Integ. Impact
CVSS Vector Breakdown
AV:
Local
AC:
Low
PR:
None
UI:
Required
S:
Unchanged
C:
High
I:
High
A:
High
Description
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.
Weakness Classification (1)
Affected Software (4)
| Vendor | Product | Version |
|---|---|---|
| huggingface | transformers | < 5.0.0 |
| huggingface | transformers | 5.0.0 |
| huggingface | transformers | 5.0.0 |
| huggingface | transformers | 5.0.0 |
References & Advisories (2)
Patch
Exploit
Third Party Advisory