CVE-2025-48536

Dec. 9, 2025, 9:44 p.m.

7.8
High

Description

In grantAllowlistedPackagePermissions of SettingsSliceProvider.java, there is a possible way for a third party app to modify secure settings due to a confused deputy. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Product(s) Impacted

Vendor Product Versions
Google
  • Android
  • 13.0, 14.0, 15.0, 16.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-441
Unintended Proxy or Intermediary ('Confused Deputy')
The product receives a request, message, or directive from an upstream component, but the product does not sufficiently preserve the original source of the request before forwarding the request to an external actor that is outside of the product's control sphere. This causes the product to appear to be the source of the request, leading it to act as a proxy or other intermediary between the upstream component and the external actor.

*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
o google android 13.0 / / / / / / /
o google android 14.0 / / / / / / /
o google android 15.0 / / / / / / /
o google android 16.0 - / / / / / /

CVSS Score

7.8 / 10

CVSS Data - 3.1

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Dec. 8, 2025, 5:16 p.m.
Last Modified: Dec. 9, 2025, 9:44 p.m.

Status : Analyzed

CVE is currently being analyzed by NVD staff, this process results in association of reference link tags, CVSS scores, CWE association, and CPE applicability statements.

More info

Source

security@android.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.