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

github.com

data leakage

sklearn

tfidfvectorizer

scikit-learn

vulnerability

tokens

sensitive information

training data

tf-idf

stop words

CVSS3

4.7

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

AI Score

6.6

Confidence

Low

EPSS

Percentile

9.0%

SSVC

Exploitation

poc

Automatable

Technical Impact

partial

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.

ADP Affected

[
  {
    "cpes": [
      "cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:*"
    ],
    "vendor": "scikit-learn",
    "product": "scikit-learn",
    "versions": [
      {
        "status": "affected",
        "version": "0",
        "lessThan": "1.5.0",
        "versionType": "custom"
      }
    ],
    "defaultStatus": "unknown"
  }
]