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CVE-2026-1839

Huggingface Transformers insecure deserialization

7.8 HIGHPublic exploitEPSS 0.38%
  1. Published7 Apr 2026

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.

CVSS 3.1 breakdown

Attack vectorLocal
Attack complexityLow
Privileges requiredNone
User interactionRequired
ScopeUnchanged
ConfidentialityHigh
IntegrityHigh
AvailabilityHigh
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Affected products

Huggingface Transformers< 5.0.0 · 5.0.0

Remediation

Fixed in
Huggingface Transformers≥ 5.0.0

References

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Frequently asked

Is CVE-2026-1839 being actively exploited?

CVE-2026-1839 is not in the CISA KEV catalog. A public exploit reference exists, so treat it as exploitable. Its EPSS exploit probability is 0.38%.

How severe is CVE-2026-1839?

CVE-2026-1839 has a CVSS 3.1 base score of 7.8, rated high. EPSS estimates a 0.38% probability of exploitation.

Which products are affected by CVE-2026-1839?

Affected products include Huggingface Transformers.

How do I fix CVE-2026-1839?

Upgrade affected software to a fixed version, for example Huggingface Transformers 5.0.0 or later, then confirm no affected versions remain in your inventory.

How Secuno handles this

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Data from the NVD, CISA KEV catalog and FIRST EPSS. CVSS 3.1 base score shown where available.