InternScience InternAgent LoRA Loading experiment.py train inclusion of functionality from untrusted control sphere
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A weakness has been identified in InternScience InternAgent 1.5.0. This affects the function train of the file tasks/AutoChem/code/experiment.py of the component LoRA Loading. This manipulation of the argument base_model_name_or_path causes inclusion of functionality from untrusted control sphere. The attack may be initiated remotely. The exploit has been made available to the public and could be used for attacks.
Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.
No remediation guidance has been written for this CVE yet, and no fixed version or vendor advisory is recorded against it.
SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.
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