CVE-2026-6859

CVE Enrichment

CVSS: 8.8 HIGH
EPSS: 0.77%
EPSS Percentile: 54.23%
CISA KEV: Not listed

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.

Technical Details

CVSS Version: 3.1
CNA / NVD Source: secalert@redhat.com
Published: 22-Apr-2026 21:17
Last Modified: 15-Jul-2026 08:16
EPSS Date: 2026-10-10
CWE: CWE-829

CVSS Vector


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

Affected Products / Versions

redhat / instructlab
Version / affected range: -
cpe:2.3:a:redhat:instructlab:-:*:*:*:*:*:*:*
redhat / enterprise_linux_ai
Version / affected range: 3.0
cpe:2.3:o:redhat:enterprise_linux_ai:3.0:*:*:*:*:*:*:*

References

Last enrichment sync: 11-Oct-2026 12:18
Sources: NVD · FIRST EPSS · CISA KEV
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Reported Context (1)

this, even this year (see LMDeploy bug CVE-2026-46432, vLLM bug CVE-2026-4944, and InstructLab bug CVE-2026-6859). Unsloth Studio Flaw Allowed Malicious Models to Execute Code During Inspection

CVE (2)

People (1)

MITRE ATT&CK (1)

Vendors (2)

Products (6)

Note: Related entities, including threat actors, malware, CVEs, MITRE ATT&CK techniques, vendors, products, tools, countries, and industries, are shown when they appear in the same reporting. Their presence does not necessarily mean they were targeted, compromised, vulnerable, responsible for the activity, or directly involved in the incident.