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CVE-2026-1839

| EUVD-2026-19573 HIGH
Deserialization of Untrusted Data (CWE-502)
2026-04-07 @huntr_ai GHSA-69w3-r845-3855
7.8
CVSS 3.1
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CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

7
Re-analysis Queued
Apr 28, 2026 - 16:52 vuln.today
cvss_changed
Severity Changed
Apr 28, 2026 - 16:52 NVD
MEDIUM HIGH
CVSS changed
Apr 28, 2026 - 16:52 NVD
6.5 (MEDIUM) 7.8 (HIGH)
Patch released
Apr 08, 2026 - 02:30 nvd
Patch available
EUVD ID Assigned
Apr 07, 2026 - 05:30 euvd
EUVD-2026-19573
Analysis Generated
Apr 07, 2026 - 05:30 vuln.today
CVE Published
Apr 07, 2026 - 05:22 nvd
MEDIUM 6.5

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 22 pypi packages depend on transformers (18 direct, 4 indirect)

Ecosystem-wide dependent count for version 5.0.0rc3.

DescriptionNVD

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.

AnalysisAI

Remote code execution in HuggingFace Transformers library allows arbitrary code execution via malicious checkpoint files. The _load_rng_state() method in the Trainer class calls torch.load() without the weights_only=True parameter, enabling deserialization attacks when PyTorch versions below 2.6 are used with torch>=2.2. …

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CVE-2026-1839 vulnerability details – vuln.today

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