CVE-2026-6859 (GCVE-0-2026-6859)

Vulnerability from cvelistv5 – Published: 2026-04-22 13:04 – Updated: 2026-04-22 13:04
VLAI?
Title
Instructlab: instructlab: arbitrary code execution due to hardcoded `trust_remote_code=true`
Summary
A flaw was found in InstructLab. The `linux_train.py` script hardcodes `trust_remote_code=True` when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run `ilab train/download/generate` with a specially crafted malicious model from the HuggingFace Hub. This vulnerability can lead to complete system compromise.
Severity ?
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • CWE-829 - Inclusion of Functionality from Untrusted Control Sphere
Assigner
References
Impacted products
Vendor Product Version
Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3     cpe:/a:redhat:enterprise_linux_ai:3
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Date Public ?
2026-04-15 00:00
Credits
Red Hat would like to thank Martin Brodeur (independent security researcher) for reporting this issue.
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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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