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CVE-2026-6859
Published:April 22, 2026
Updated:May 18, 2026
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.
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CVSS v4
Base Score:
8.7
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
PASSIVE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
8.8
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
Weakness Type (CWE)
Inclusion of Functionality from Untrusted Control Sphere
EPSS
Base Score:
0.13