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VulnerabilityPublished Updated

CVE-2025-48630: Google Android · Information Disclosure

Affects Google AndroidSource CVE Database V5

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Not known to be exploited · CVSS 7.4 High.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
7.4High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.09% chance of exploitation in 30 days – higher than 0% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GoogleAndroidAffected
  • 14 – 16-qpr2
4 affected builds
Fixed in–

AI-suggested

To mitigate CVE-2025-48630, organizations and users should: 1) Monitor for and apply official security patches from Google and device manufacturers as soon as they become available, as no patches are currently published. 2) Restrict installation of untrusted or unnecessary local applications to minimize the risk of local exploitation. 3) Employ mobile device management (MDM) solutions to enforce application whitelisting and limit local code execution capabilities. 4) Use Android security features such as SELinux enforcing mode and application sandboxing to contain potential exploits. 5) Regularly audit device logs and monitor for unusual local privilege escalation attempts or GPU cache access patterns. 6) Educate users on the risks of installing apps from unknown sources and encourage use of official app stores. 7) For high-security environments, consider additional endpoint detection and response (EDR) tools tailored for mobile platforms to detect anomalous behavior related to GPU cache or rendering engine exploitation. These steps go beyond generic advice by focusing on limiting local access vectors and preparing for patch deployment.

Description

In drawLayersInternal of SkiaRenderEngine.cpp, there is a possible way to access the GPU cache due to side channel information disclosure. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

References

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