Instructlab
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cpe:2.3:a:redhat:instructlab:-:*:*:*:*:*:*:*
part: a version: - update: *
| Vendor | Redhat (e942785a-ca89-506e-bd99-50782639cde3) |
|---|---|
| Product | Instructlab (a7bffe27-810d-5b72-88ff-96d87561774e) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
pkg:github/instructlab/instructlab |
purl2cpe | 2026-07-28 16:40:56.562877 |
pkg:pypi/instructlab |
purl2cpe | 2026-07-28 16:40:56.562881 |
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2026-6859 |
vulnerable | 2026-06-08 08:07:05.132533 |
Instructlab: instructlab: arbitrary code execution due to hardcoded `trust_remote_code=true`
HIGH (8.8)
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.
Published: 2026-04-22T13:04:04.795Z
Updated: 2026-07-15T00:40:32.102Z |
Imported from gcve-enriched-dumps CVE data |
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