🛡️ CVE-2026-6859 — enterprise-linux-ai

🟠 CVSS 8.8 — High ✅ No Known Exploit CWE-829 NVD
8.8
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

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.

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. A user must be tricked into taking some action. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity high, availability high.

Weakness class

CVE-2026-6859 is classified as CWE-829: Inclusion of Functionality from Untrusted Control Sphere. Code is loaded from a source outside the product's control, so that source can change what runs.

Affected software

CVE-2026-6859 is recorded against 2 packages.

  • enterprise-linux-ai
  • instructlab

Timeline and source

Published on 22 April 2026 and last revised on 15 July 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

access.redhat.com
bugzilla.redhat.com
access.redhat.com
bugzilla.redhat.com
security.access.redhat.com

Details

Severity HIGH
CVSS Score 8.8
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE CWE-829
Public Exploit ✅ No
Source NVD
Published 2026-04-22
Updated 2026-08-12
Modified 2026-07-15
Fix URL N/A

Affected Packages

Software From version Fixed in
enterprise-linux-ai
instructlab

Similar Threats

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