The vulnerability arises from the use of joblib.load() function, which is part of the joblib library, not scikit-learn's own code. While scikit-learn (<=0.23.0) recommends using joblib.load() for model persistence, the function itself resides in the joblib package. The advisory explicitly notes that the risk stems from improper usage of joblib.load() on untrusted data, not from a flaw in scikit-learn's implementation. Since the task requires identifying vulnerable functions within the scikit-learn package, and joblib.load() is external, no scikit-learn-specific functions are directly vulnerable with high confidence.