Description
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 products
redhat: instructlab; redhat: enterprise linux ai
References5
- access.redhat.com/security/cve/CVE-2026-6859 Vendor Advisory
- bugzilla.redhat.com/show_bug.cgi?id=2459998 Issue TrackingVendor Advisory
- access.redhat.com/security/cve/CVE-2026-6859 Vendor Advisory
- bugzilla.redhat.com/show_bug.cgi?id=2459998 Issue TrackingVendor Advisory
- security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-6859.…
Metrics
- CVSS 3.1
-
8.8
HIGH
Score source: NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H - EPSS — exploit probability
- 0% percentile: 39 · as of 13 November 2026
- CWE
- CWE-829
Could this be exploited in your environment?
A patch closes the known hole. A penetration test shows what an attacker can still reach — with proof.