CVE-2024-5206 Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn

2024-06-0618:28:14

CWE-921

@huntr_ai

www.cve.org

sensitive data

leakage

scikit-learn

tfidfvectorizer

vulnerability

tokens

training data

stop words

tf-idf technique

4.7 Medium

CVSS3

Attack Vector

LOCAL

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

NONE

Availability Impact

NONE

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

0.0004 Low

EPSS

Percentile

9.1%

JSON

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.

CNA Affected

[
  {
    "vendor": "scikit-learn",
    "product": "scikit-learn/scikit-learn",
    "versions": [
      {
        "version": "unspecified",
        "lessThan": "1.5.0",
        "status": "affected",
        "versionType": "custom"
      }
    ]
  }
]