Instructlab: instructlab: arbitrary code execution due to hardcoded `trust_remote_code=true`
Summary
| CVE | CVE-2026-6859 |
|---|---|
| State | PUBLISHED |
| Assigner | redhat |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2026-04-22 14:17:07 UTC |
| Updated | 2026-04-22 21:23:52 UTC |
| 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. |
Risk And Classification
Primary CVSS: v3.1 8.8 HIGH from [email protected]
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Problem Types: CWE-829 | CWE-829 Inclusion of Functionality from Untrusted Control Sphere
| Version | Source | Type | Score | Severity | Vector |
|---|---|---|---|---|---|
| 3.1 | [email protected] | Primary | 8.8 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H |
| 3.1 | CNA | CVSS | 8.8 | HIGH | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H |
CVSS v3.1 Breakdown
Attack Vector
NetworkAttack Complexity
LowPrivileges Required
NoneUser Interaction
RequiredScope
UnchangedConfidentiality
HighIntegrity
HighAvailability
HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Vendor Declared Affected Products
| Source | Vendor | Product | Version | Platforms |
|---|---|---|---|---|
| CNA | Red Hat | Red Hat Enterprise Linux AI RHEL AI 3 | Not specified | Not specified |
| CNA | Red Hat | Red Hat Enterprise Linux AI RHEL AI 3 | Not specified | Not specified |
| CNA | Red Hat | Red Hat Enterprise Linux AI RHEL AI 3 | Not specified | Not specified |
| CNA | Red Hat | Red Hat Enterprise Linux AI RHEL AI 3 | Not specified | Not specified |
| CNA | Red Hat | Red Hat Enterprise Linux AI RHEL AI 3 | Not specified | Not specified |
| CNA | Red Hat | Red Hat Enterprise Linux AI RHEL AI 3 | Not specified | Not specified |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| bugzilla.redhat.com/show_bug.cgi | [email protected] | bugzilla.redhat.com | |
| access.redhat.com/security/cve/CVE-2026-6859 | [email protected] | access.redhat.com | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
Vendor Comments And Credit
Discovery Credit
CNA: Red Hat would like to thank Martin Brodeur (independent security researcher) for reporting this issue. (en)
Additional Advisory Data
| Source | Time | Event |
|---|---|---|
| CNA | 2026-04-15T00:00:00.000Z | Reported to Red Hat. |
| CNA | 2026-04-15T00:00:00.000Z | Made public. |
Workarounds
CNA: To mitigate this issue, only use models from trusted sources when performing `instructlab` operations. Review the origin and integrity of any HuggingFace model before using it with `ilab train/download/generate`. Consider running `instructlab` commands within a sandboxed or isolated environment to limit the potential impact of executing untrusted code.
There are currently no legacy QID mappings associated with this CVE.