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Unsafe ML Artifacts (be6ef5c5-1ecb-486d-9743-42085bd2c256)

Adversaries may develop unsafe ML artifacts that when executed have a deleterious effect. The adversary can use this technique to establish persistent access to systems. These models may be introduced via a ML Supply Chain Compromise.

Serialization of models is a popular technique for model storage, transfer, and loading. However, this format without proper checking presents an opportunity for code execution.

Cluster A Galaxy A Cluster B Galaxy B Level
Unsafe ML Artifacts (be6ef5c5-1ecb-486d-9743-42085bd2c256) MITRE ATLAS Attack Pattern User Execution (ATLAS) (8c849dd4-5d15-45aa-b5b2-59c96a3ab939) MITRE ATLAS Attack Pattern 1