PYSEC-2024-110

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/scikit-learn/PYSEC-2024-110.yaml
JSON Data
https://api.test.osv.dev/v1/vulns/PYSEC-2024-110
Aliases
Published
2024-06-06T19:16:00Z
Modified
2024-10-24T21:42:29.828286Z
Severity
  • 4.7 (Medium) CVSS_V3 - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N CVSS Calculator
Summary
[none]
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.

References

Affected packages

PyPI / scikit-learn

Package

Affected ranges

Type
GIT
Repo
https://github.com/scikit-learn/scikit-learn
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
1.5.0

Affected versions

0.*

0.9
0.10
0.11
0.12
0.12.1
0.13
0.13.1
0.14
0.14.1
0.15.0
0.15.1
0.15.2
0.16.0
0.16.1
0.17
0.17.1
0.18
0.18.1
0.18.2
0.19.0
0.19.1
0.19.2
0.20.0
0.20.1
0.20.2
0.20.3
0.20.4
0.21.0
0.21.1
0.21.2
0.21.3
0.22
0.22.1
0.22.2
0.22.2.post1
0.23.0
0.23.1
0.23.2
0.24.0
0.24.1
0.24.2

1.*

1.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.2.0rc1
1.2.0
1.2.1
1.2.2
1.3.0rc1
1.3.0
1.3.1
1.3.2
1.4.0rc1
1.4.0
1.4.1.post1
1.4.2
1.5.0rc1