CVE-2025-48630: Google Android · Information Disclosure
Affects Google AndroidSource CVE Database V5
Not known to be exploited · CVSS 7.4 High.
Data as of 30 Oct 2026, 11:52 UTC
- 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:HExploitation evidence
Disclosed: evidence found.
CVE published 2 Mar 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
| GoogleAndroid | Affected
| 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.