CVE-2024-47168

Oct. 17, 2024, 5 p.m.

4.3
Medium

Description

Gradio is an open-source Python package designed for quick prototyping. This vulnerability involves data exposure due to the enable_monitoring flag not properly disabling monitoring when set to False. Even when monitoring is supposedly disabled, an attacker or unauthorized user can still access the monitoring dashboard by directly requesting the /monitoring endpoint. This means that sensitive application analytics may still be exposed, particularly in environments where monitoring is expected to be disabled. Users who set enable_monitoring=False to prevent unauthorized access to monitoring data are impacted. Users are advised to upgrade to gradio>=4.44 to address this issue. There are no known workarounds for this vulnerability.

Product(s) Impacted

Vendor Product Versions
Gradio Project
  • Gradio
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-670
Always-Incorrect Control Flow Implementation
The code contains a control flow path that does not reflect the algorithm that the path is intended to implement, leading to incorrect behavior any time this path is navigated.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a gradio_project gradio / / / / / python / /

CVSS Score

4.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

    View Vector String

Timeline

Published: Oct. 10, 2024, 10:15 p.m.
Last Modified: Oct. 17, 2024, 5 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.