medium
5.3
CWE
921 922
EPSS
0.043%
Advisory Published
Advisory Published
Updated

CVE-2024-5206: Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn

First published: Thu Jun 06 2024(Updated: )

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.

Credit: security@huntr.dev security@huntr.dev

Affected SoftwareAffected VersionHow to fix
pip/scikit-learn<1.5.0
1.5.0
IBM Cloud Pak for Security<=1.10.0.0 - 1.10.11.0
IBM QRadar Suite<=1.10.12.0 - 1.10.22.0
Scikit-learn<1.5.0

Remedy

https://github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9ade7cd8e438b8

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Frequently Asked Questions

  • What is the severity of CVE-2024-5206?

    CVE-2024-5206 is classified as a sensitive data leakage vulnerability.

  • How do I fix CVE-2024-5206?

    To fix CVE-2024-5206, upgrade scikit-learn to version 1.5.0 or later.

  • Which versions of scikit-learn are affected by CVE-2024-5206?

    CVE-2024-5206 affects versions of scikit-learn up to and including 1.4.1.post1.

  • What products are impacted by CVE-2024-5206?

    CVE-2024-5206 impacts IBM Cloud Pak for Security and IBM QRadar Suite Software in specific versions.

  • Is CVE-2024-5206 a known issue in libraries?

    Yes, CVE-2024-5206 is a known issue in the scikit-learn library regarding token storage.

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