{"id":"CVE-2026-6859","aliases":["GHSA-rxpq-xgqx-fr7p","PYSEC-2026-2522"],"title":"InstructLab Includes Functionality from Untrusted Control Sphere","summary":"InstructLab Includes Functionality from Untrusted Control Sphere","severity":"high","cvss":8.8,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","vendor":"instructlab","product":"instructlab","ecosystem":"pip","affected":["instructlab <= 0.26.1"],"published":"2026-04-22","updated":"2026-07-13","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-rxpq-xgqx-fr7p","references":[{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-6859"},{"url":"https://access.redhat.com/security/cve/CVE-2026-6859"},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2459998"},{"url":"https://github.com/instructlab/instructlab"}],"tags":["osv","pip"],"epss":0.00441,"epssPercentile":0.37755,"ingestedAt":"2026-07-13T18:58:03.046Z","slug":"CVE-2026-6859","body":"## Overview\n\nA 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.\n\n## Affected packages\n\n- `instructlab <= 0.26.1`\n\n## Remediation\n\nRefer to the advisory for the patched release.","depth":"twilight","depthScore":48,"depthScoreParts":{"impact":48.4,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}