Vulnerability in Red Hat Enterprise Linux Ai (Rhel Ai) 3
CVE-2026-6859
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.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.004 (38.3th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 38th percentile — 38.3% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.008 · newest: 0.004 · change: -0.003
Affected products
Weakness classification (CWE)
References
- access.redhat.com/security/cve/CVE-2026-6859 (vdb-entry, Vendor Advisory)
- bugzilla.redhat.com/show_bug.cgi (issue-tracking, Issue Tracking, Vendor Advisory)
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Frequently asked questions
- What is CVE-2026-6859?
- CVE-2026-6859 is a high-severity vulnerability in Red Hat Enterprise Linux Ai (Rhel Ai) 3, classified under Inclusion of Functionality from Untrusted Control Sphere. CVSS score: 8.8/10. Published 2026-04-22.
- How severe is CVE-2026-6859?
- High severity. CVSS v3 base score is 8.8 out of 10.