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CVE-2024-5206 Security feature bypass

Remediate Within 6 Months

CVE Information

Original CVE data


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.

CWE: CWE-921
CVSS v2-
CVSS v3-
Affected Vendors

Basic Analysis

Common vulnerability metrics

Vulnerabilty type as detected by PRIOnengine

Security feature bypass

CVSS Scores as calculated by PRIOnengine
CVSS v25
CVSS v37.5



No exploit code is reported to exist.

Active Exploitation

Vulnerability is not in CISA's Known Exploited Vulnerabilities (KEV) catalog. See the KEV Catalog

Social Network Activity


Threat Actor Activity

No sightings of the vulnerability within threat reports.

Cybersecurity Frameworks

How the vulnerability maps against various cybersecurity frameworks

T1591 - Gather Victim Org Information
T1590 - Gather Victim Network Information
T1589.001 - Gather Victim Identity Information (Credentials)
T1552 - Unsecured Credentials
T1082 - System Information Discovery
T1003 - OS Credential Dumping

Compliance Impact

How the submited vulnerability affects compliance

PCI DSS v3.2.1-6.5.5 - Improper Error Handling

Web Application Security Frameworks

Applicable if the issue likely affects a web application

WASC-8 - Cross Site Scripting