Deserialization of Untrusted Data Affecting tritonserver-backend-vllm-cuda-13.0 package, versions <25.11-r7


Severity

Recommended
0.0
high
0
10

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Threat Intelligence

Social Trends
EPSS
0.35% (27th percentile)

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  • Snyk IDSNYK-CHAINGUARDLATEST-TRITONSERVERBACKENDVLLMCUDA130-17117981
  • published2 Jun 2026
  • disclosed7 Apr 2026

Introduced: 7 Apr 2026

CVE-2026-1839  (opens in a new tab)
CWE-502  (opens in a new tab)

How to fix?

Upgrade Chainguard tritonserver-backend-vllm-cuda-13.0 to version 25.11-r7 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream tritonserver-backend-vllm-cuda-13.0 package and not the tritonserver-backend-vllm-cuda-13.0 package as distributed by Chainguard. See How to fix? for Chainguard relevant fixed versions and status.

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&gt;=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.

CVSS Base Scores

version 3.1