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Security Advisories: GSA_kwCzR0hTQS1qdzh4LTY0OTUtMjMzds4AA8xU

scikit-learn sensitive data leakage vulnerability

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.

Permalink: https://github.com/advisories/GHSA-jw8x-6495-233v
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1qdzh4LTY0OTUtMjMzds4AA8xU
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: 3 months ago
Updated: 3 months ago

CVSS Score: 5.3
CVSS vector: CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

Identifiers: GHSA-jw8x-6495-233v, CVE-2024-5206
References:

• https://nvd.nist.gov/vuln/detail/CVE-2024-5206
• https://github.com/scikit-learn/scikit-learn/commit/70ca21f106b603b611da73012c9ade7cd8e438b8
• https://huntr.com/bounties/14bc0917-a85b-4106-a170-d09d5191517c
• https://github.com/advisories/GHSA-jw8x-6495-233v

Repository: https://github.com/scikit-learn/scikit-learn
Blast Radius: 27.3

Affected Packages