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CVE-2026-6859

Full vulnerability record from the local CVENow database.

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.

Severity
HIGH
CVSS score
8.8 (v3.1)
Vulnerability status
Modified
Source identifier
Published
2026-04-22 14:17:07.687000
Last modified
2026-10-26 21:10:00.170000
View original CVE JSON
{
  "id": "CVE-2026-6859",
  "sourceIdentifier": "[email protected]",
  "published": "2026-04-22T14:17:07.687",
  "lastModified": "2026-10-26T21:10:00.170",
  "vulnStatus": "Modified",
  "cveTags": [],
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      "lang": "en",
      "value": "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."
    },
    {
      "lang": "es",
      "value": "Se encontró un fallo en InstructLab. El script “linux_train.py” codifica de forma rígida “trust_remote_code=True” al cargar modelos de HuggingFace. Esto permite a un atacante remoto lograr la ejecución arbitraria de código Python al convencer a un usuario de ejecutar “ilab train/download/generate” con un modelo malicioso especialmente diseñado del HuggingFace Hub. Esta vulnerabilidad puede llevar a un compromiso completo del sistema."
    }
  ],
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