High [CVE-2026-58659] Remote code execution via malicious checkpoint files
This high-severity Red Hat Linux advisory covers CVE-2026-58659 affecting Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI).
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Summary
PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the _load_state function that imports and executes attacker-controlled module names from checkpoint _instantiator hyperparameters.
Attackers can craft malicious checkpoint files that bypass weights_only=True protections to execute arbitrary code when LightningModule.load_from_checkpoint is called. This vulnerability allows attackers to achieve remote code execution by crafting malicious checkpoint files.
The vulnerability arises from the _load_state function's ability to import and execute attacker-controlled module names from maliciously crafted checkpoint files, even when weights_only=True is enabled. Exploitation requires a local attacker to trick a user into loading a specially crafted checkpoint file.
Red Hat severity: Important — CVSS 7.8 (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H). Weakness: CWE-502.
Affected Red Hat products: Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI). Will not fix / out of support: Red Hat AI Inference Server.
Red Hat does not currently list a fixing RHSA for this CVE.
Affected versions
No affected-version range was extracted from the source record. The vendor advisory is authoritative — check it before change work.
Official advisory · high-confidence parse· fetched 6 days ago·verify at source
Mitigation
Upgrade to a fixed release: 2.6.5. That is the remediation for this advisory.
The vendor advisory may list additional interim mitigations or workarounds not captured here — review it before change work.
Official advisory · high-confidence parse· fetched 6 days ago·verify at source
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