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.

CVSS v3 8.8 HIGH

8.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 2.8 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://access.redhat.com/security/cve/CVE-2026-6859	Vendor Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2459998	Issue Tracking Vendor Advisory
https://access.redhat.com/security/cve/CVE-2026-6859	Vendor Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2459998	Issue Tracking Vendor Advisory
https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-6859.json

Configurations

Configuration 1 (hide)

OR	cpe:2.3:a:redhat:instructlab:-:::::::*
	cpe:2.3:o:redhat:enterprise_linux_ai:3.0:::::::*

History

No history.

Information

Published : 2026-04-22 14:17

Updated : 2026-07-15 01:16

NVD link : CVE-2026-6859

Mitre link : CVE-2026-6859

CVE.ORG link : CVE-2026-6859

JSON object : View

Products Affected

redhat

enterprise_linux_ai
instructlab

CWE

CWE-829

Inclusion of Functionality from Untrusted Control Sphere

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