CVE-2024-5206 (Medium) detected in scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl

[mend-bolt-for-github]

CVE-2024-5206 - Medium Severity Vulnerability

Vulnerable Library - scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl

A set of python modules for machine learning and data mining

Library home page: https://files.pythonhosted.org/packages/a8/eb/a48f25c967526b66d5f1fa7a984594f0bf0a5afafa94a8c4dbc317744620/scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl

Path to dependency file: /tmp/ws-scm/easycv

Path to vulnerable library: /easycv

Dependency Hierarchy:

• ❌ scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl (Vulnerable Library)

Found in base branch: master

Vulnerability Details

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.

Publish Date: 2024-06-06

URL: CVE-2024-5206

CVSS 3 Score Details (5.3)

Base Score Metrics:

• Exploitability Metrics:
  • Attack Vector: Network
  • Attack Complexity: High
  • Privileges Required: Low
  • User Interaction: None
  • Scope: Unchanged
• Impact Metrics:
  • Confidentiality Impact: High
  • Integrity Impact: None
  • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-5206

Release Date: 2024-06-06

Fix Resolution: scikit-learn - 1.5.0

---

Step up your Open Source Security Game with Mend here