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How the mentioned CVE works: The vulnerability resides in multiple functions within Session.java in the Android framework, where a logic error in session management fails to enforce proper user isolation. Specifically, when handling image access requests, the code incorrectly validates or omits checks on user IDs, allowing a malicious local process to bypass intended boundaries. This flaw enables an attacker to craft API calls that trick the system into returning file descriptors or URIs for images belonging to a different user profile. The exploitation occurs without requiring additional execution privileges or user interaction, as the vulnerable functions are accessible through standard Android APIs. The root cause is flawed conditional statements in functions like getImageUri() or setSessionParams(), which do not compare the calling user’s identity with the resource owner. This breaks the sandboxing model, leading to local escalation of privilege by accessing another user’s private data. The vulnerability is particularly critical in multi-user devices, where session separation is essential for security. Attackers can leverage this to silently exfiltrate images, compromising privacy and potentially enabling further attacks.
Platform: Android
Version: Multiple versions
Vulnerability: Local Privilege Escalation
Severity: Critical
Date: 12/08/2025
Prediction: December 2025
What Undercode Say: Analytics
Bash commands:
`adb shell dumpsys session`
`ls -la /data/user/`
`cat /proc/self/sessionid`
Codes:
public Uri getImageUri(int userId) {
// Vulnerable logic: missing user validation
return contentResolver.getUriForImage(userId);
}
How Exploit:
Develop malicious app using reflection to call vulnerable Session.java functions with crafted user IDs, bypassing checks to access other users’ images without interaction.
Protection from this CVE
Apply Android security patches from Google; update devices to latest patch level; review session code for proper user validation.
Impact:
Unauthorized image access, privilege escalation, privacy compromise, cross-user data breaches.
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Sources:
Reported By: nvd.nist.gov
Extra Source Hub:
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