CVE-2024-5206

2024-06-0619:16:06

CWE-921

@huntr_ai

web.nvd.nist.gov

sensitive data leakage

scikit-learn

tfidfvectorizer

version 1.5.0

stop words

vulnerability

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

6.9

Confidence

Low

EPSS

Percentile

9.0%

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.

Affected configurations

Vulners

Vulnrichment

Node

scikit-learnscikit-learn\/scikit-learnMatch1.5.0

VendorProductVersionCPE
scikit-learnscikit-learn\/scikit-learn1.5.0cpe:2.3:a:scikit-learn:scikit-learn\/scikit-learn:1.5.0:*:*:*:*:*:*:*

Vendor	Product	Version	CPE
scikit-learn	scikit-learn\/scikit-learn	1.5.0	cpe:2.3:a:scikit-learn:scikit-learn\/scikit-learn:1.5.0:::::::*

CNA Affected

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