CVE-2026-6859

HIGH
MEDIUM Priority: 0.04 BB Relevance: 68/100
Published: 2026-04-22 Modified: 2026-10-26 First seen: 2026-10-29 Status: active

Attack Surface

Network Low Complexity No Auth Conf. Impact Integ. Impact

CVSS Vector Breakdown

AV: Network
AC: Low
PR: None
UI: Required
S: Unchanged
C: High
I: High
A: High

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.

Weakness Classification (1)

Affected Software (2)

VendorProductVersion
redhat enterprise_linux_ai 3.0
redhat instructlab -

Bug Bounty Relevance

68 / 100
✓ Network accessible
✓ No authentication
✓ Low complexity

CVSS Score

8.8 / 10.0 v3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

EPSS — Exploitation Probability

0.44%
Raw Score 0.004410
Percentile 38.2%
Date 2026-10-28

Intelligence Sources

nvd ref →