CVE-2024-5206

Description

A vulnerability was found in the scikit-learn package. Before version 1.4.1, post1 scikit-learn stores all tokens with "stop_words_" attributes. This action may cause scikit-learn to expose sensitive data that will not be used in the model training, possibly leaking passwords and keys.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score5.34.7N/A
Attack VectorNetworkLocalN/A
Attack ComplexityHighHighN/A
Privileges RequiredLowLowN/A
User InteractionNoneNoneN/A
ScopeUnchangedUnchangedN/A
ConfidentialityHighHighN/A
Integrity ImpactNoneNoneN/A
Availability ImpactNoneNoneN/A

Vector

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

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

Understanding the Weakness (CWE)

Confidentiality

Technical Impact: Read Application Data; Read Files or Directories

Attackers can read sensitive information by accessing the unrestricted storage mechanism.

Integrity

Technical Impact: Modify Application Data; Modify Files or Directories

Attackers can modify or delete sensitive information by accessing the unrestricted storage mechanism.

Frequently Asked Questions

Want to get errata notifications? Sign up here.