PYSEC-2024-110
See a problem?- 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 thestop_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
- Name
- scikit-learn
- View open source insights on deps.dev
- Purl
- pkg:pypi/scikit-learn
Affected ranges
- Type
- GIT
- Repo
- https://github.com/scikit-learn/scikit-learn
- Events
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixed
- Type
- ECOSYSTEM
- Events
-
Introduced0Unknown introduced version / All previous versions are affectedFixed1.5.0
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