CVE-2026-6859 — HIGH (8.8) — White Hats Nepal

Vulnerability 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.

CVSS Score

8.8

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality

HIGH

Integrity

HIGH

Availability

HIGH

Affected Products

Vendor	Product	Versions
Redhat	Instructlab	-
Redhat	Enterprise Linux Ai	3.0

Related Weaknesses (CWE)

CWE-829

References

https://access.redhat.com/security/cve/CVE-2026-6859Vendor Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2459998Issue TrackingVendor Advisory

FAQ

What is CVE-2026-6859?

CVE-2026-6859 is a vulnerability with a CVSS score of 8.8 (HIGH). 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 exe...

How severe is CVE-2026-6859?

CVE-2026-6859 has been rated HIGH with a CVSS base score of 8.8/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2026-6859?

Check the references section above for vendor advisories and patch information. Affected products include: Redhat Instructlab, Redhat Enterprise Linux Ai.