PYSEC-2026-2522

Vulnerability from pysec - Published: 2026-07-13 15:02 - Updated: 2026-07-13 16:04
VLAI
Details

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.

Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Impacted products
Name purl
instructlab pkg:pypi/instructlab
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "instructlab",
        "purl": "pkg:pypi/instructlab"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.26.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.14.0",
        "0.15.1",
        "0.16.0",
        "0.16.1",
        "0.17.0",
        "0.17.1",
        "0.17.2",
        "0.18.0",
        "0.18.0a1",
        "0.18.0a2",
        "0.18.0a3",
        "0.18.0a4",
        "0.18.0a5",
        "0.18.0a6",
        "0.18.0a7",
        "0.18.0b1",
        "0.18.0b2",
        "0.18.0b3",
        "0.18.0b4",
        "0.18.0b5",
        "0.18.0b6",
        "0.18.0rc1",
        "0.18.0rc2",
        "0.18.0rc3",
        "0.18.0rc4",
        "0.18.0rc5",
        "0.18.0rc6",
        "0.18.0rc7",
        "0.18.1",
        "0.18.2",
        "0.18.3",
        "0.18.4",
        "0.19.0",
        "0.19.0a1",
        "0.19.0b1",
        "0.19.0rc1",
        "0.19.1",
        "0.19.2",
        "0.19.3",
        "0.19.4",
        "0.19.5",
        "0.20.0",
        "0.20.0a1",
        "0.20.0a2",
        "0.20.1",
        "0.21.0",
        "0.21.0a0",
        "0.21.0a1",
        "0.21.1",
        "0.21.2",
        "0.22.0",
        "0.22.1",
        "0.22.2",
        "0.23.0",
        "0.23.0a0",
        "0.23.0rc0",
        "0.23.1",
        "0.23.2",
        "0.23.3",
        "0.23.4",
        "0.23.5",
        "0.24.0",
        "0.24.1",
        "0.24.2",
        "0.24.2a0",
        "0.24.3",
        "0.25",
        "0.26.0",
        "0.26.0a1",
        "0.26.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-6859",
    "GHSA-rxpq-xgqx-fr7p"
  ],
  "details": "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.",
  "id": "PYSEC-2026-2522",
  "modified": "2026-07-13T16:04:19.686330Z",
  "published": "2026-07-13T15:02:52.692673Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-6859"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-6859"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2459998"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/instructlab/instructlab"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/instructlab"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-rxpq-xgqx-fr7p"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "InstructLab Includes Functionality from Untrusted Control Sphere"
}



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