InstructLab Includes Functionality from Untrusted Control Sphere
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.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | instructlab | <= 0.26.1 | no fix |
References
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H- Weakness (CWE)
CWE-829- Platform
- Python (PyPI)
- Package
instructlab- Disclosed
- 22.04.2026
- Updated
- 11.10.2026 14:18
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-2522 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-rxpq-xgqx-fr7p - CC BY 4.0
Vulnerability history: instructlab
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 2
- First → latest
- 04.2026 04.2026
- Without a fix
- 2
- Exploited in attacks
- 0
Severity breakdown
- High 2
Disclosures per year
- 2026: 2
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