HIGH8.8
PYSEC-2026-2522
InstructLab Includes Functionality from Untrusted Control Sphere
Details
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.
Are you affected?
Enter the version of the package you're using.
Affected packages
PyPI/instructlab
Introduced in:
0No fixed version published yet for instructlab (pip). Pin to a known-safe version or switch to an alternative.
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-6859[ADVISORY]
- https://access.redhat.com/security/cve/CVE-2026-6859[WEB]
- https://bugzilla.redhat.com/show_bug.cgi?id=2459998[WEB]
- https://github.com/instructlab/instructlab[PACKAGE]
- https://pypi.org/project/instructlab[PACKAGE]
- https://github.com/advisories/GHSA-rxpq-xgqx-fr7p[ADVISORY]