CVE Enrichment

CVSS
4.7 MEDIUM
EPSS
0.19%
EPSS Percentile
7.99%
CISA KEV
Not listed

Description

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.

Technical Details

CVSS Version
3.1
CNA / NVD Source
security@huntr.dev
Published
07-Jun-2024 02:16
Last Modified
17-Jun-2026 15:15
EPSS Date
2026-10-20
CWE
CWE-921, CWE-922

CVSS Vector

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

Affected Products / Versions

References

Last enrichment sync: 21-Oct-2026 05:01
Sources: NVD · FIRST EPSS · CISA KEV
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Reported Context (1)

CVE (3)

Malware (1)

People (2)

Threat Actors (1)

MITRE ATT&CK (4)

Vendors (7)

Products (10)

Tools (3)

Note: Related entities, including threat actors, malware, CVEs, MITRE ATT&CK techniques, vendors, products, tools, countries, and industries, are shown when they appear in the same reporting. Their presence does not necessarily mean they were targeted, compromised, vulnerable, responsible for the activity, or directly involved in the incident.