MEDIUM🇵🇱 Wersja polska

CVE-2024-5206

CVSS 4.7v3.1pub. 2024-06-06upd. 2024-11-21

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.

CVSS Vector
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N
  • Scikit Learn

    APP
    Scikit-Learn
    < 1.5.0
🔵
CHECK WITH VENDOR
No clear patch data available. Check vendor references.
CWE
References

Related vulnerabilities

CVE-2020-13092CRITICAL9.8ten sam produkt

scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is ...

CVE-2020-28975HIGH7.5ten sam produkt

svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attack...