CVE-2026-1839

medium Red Hat
CVSS v3 Base Score
6.7
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
EPSS Score
0.0%
Exploitation probability in 30 days
Top 95% most likely to be exploited
Attack Characteristics
Attack Vector
Local
Attack Complexity
High
Privileges Required
Low
User Interaction
Required
Confidentiality
High
Integrity
High
Availability
High
Published: April 7, 2026 (37 days ago)
Last Modified: April 7, 2026
Vendor: Red Hat
Source: REDHAT

Description

A flaw was found in HuggingFace Transformers. A remote attacker can exploit this vulnerability by supplying a specially crafted checkpoint file (e.g., `rng_state.pth`). The `_load_rng_state()` method in the `Trainer` class loads this file using `torch.load()` without proper validation, specifically missing the `weights_only=True` parameter. This issue primarily affects systems using PyTorch versions below 2.6. Successful exploitation can lead to arbitrary code execution on the system where the file is loaded.

CWE

CWE-502

Affected Products

Lightspeed CoreOpenShift LightspeedRed Hat AI Inference ServerRed Hat Ansible Automation Platform 2Red Hat Enterprise Linux AI (RHEL AI) 3Red Hat OpenShift AI (RHOAI)

References

🔗 bugzilla.redhat.com 🔗 www.cve.org 🔗 nvd.nist.gov 🔗 github.com 🔗 huntr.com