---
id: CVE-2026-1839
aliases:
  - GHSA-69w3-r845-3855
  - PYSEC-2026-2288
title: >-
  HuggingFace Transformers allows for arbitrary code execution in the `Trainer`
  class
summary: >-
  HuggingFace Transformers allows for arbitrary code execution in the `Trainer`
  class
severity: medium
cvss: 6.5
cvssVector: 'CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:L/A:H'
vendor: transformers
product: transformers
ecosystem: pip
affected:
  - transformers < 5.0.0rc3
patched:
  - transformers 5.0.0rc3
published: '2026-04-07'
updated: '2026-09-10'
sourceUpdated: '2026-09-10T03:50:43.300048881Z'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-69w3-r845-3855'
references:
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2026-1839'
  - url: >-
      https://github.com/huggingface/transformers/commit/03c8082ba4594c9b8d6fe190ca9bed0e5f8ca396
  - url: 'https://github.com/huggingface/transformers'
  - url: 'https://github.com/huggingface/transformers/releases/tag/v5.0.0rc3'
  - url: 'https://huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485'
tags:
  - osv
  - pip
epss: 0.00382
epssPercentile: 0.29458
ingestedAt: '2026-07-13T18:57:53.765Z'
---

## Overview

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.

## Affected packages

- `transformers < 5.0.0rc3`

## Remediation

Upgrade to a patched release:

- `transformers 5.0.0rc3`