CVE-2024-5206

A sensitive data leakage vulnerability was identified in scikit-learn’s
TfidfVectorizer, specifically in versions up to and including 1.4.1.post1,
which was fixed in version 1.5.0. The vulnerability arises from the
unexpected storage of all tokens present in the training data within the
stop_words_ attribute, rather than only storing the subset of tokens
required for the TF-IDF technique to function. This behavior leads to the
potential leakage of sensitive information, as the stop_words_ attribute
could contain tokens that were meant to be discarded and not stored, such
as passwords or keys. The impact of this vulnerability varies based on the
nature of the data being processed by the vectorizer.