Google Android 13/14/15/16 information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.2$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Google Android 13/14/15/16. This issue affects some unknown processing. The manipulation leads to information disclosure. This vulnerability is uniquely identified as CVE-2025-48551. Local access is required to approach this attack. No exploit exists. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability was found in Google Android 13/14/15/16. It has been rated as problematic. This issue affects some unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

In multiple locations, there is a possible leak of an image across the Android User isolation boundary due to a confused deputy. This could lead to local information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.

It is possible to read the advisory at android.googlesource.com. The identification of this vulnerability is CVE-2025-48551 since 05/22/2025. The exploitation is known to be easy. Attacking locally is a requirement. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/07/2025). The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

Applying a patch is able to eliminate this problem.

The vulnerability is also documented in the vulnerability database at CERT Bund (WID-SEC-2025-1944). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Affected

  • Google Android

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.3
VulDB Meta Temp Score: 3.2

VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/22/2025 CVE reserved
09/04/2025 +105 days Advisory disclosed
09/04/2025 +0 days VulDB entry created
09/07/2025 +3 days VulDB entry last update

Sourcesinfo

Vendor: google.com

Advisory: android.googlesource.com
Status: Confirmed

CVE: CVE-2025-48551 (🔒)
GCVE (CVE): GCVE-0-2025-48551
GCVE (VulDB): GCVE-100-322667
CERT Bund: WID-SEC-2025-1944 - Android Patchday September 2025: Multiple Vulnerabilities

scip Labs: https://www.scip.ch/en/?labs.20150917

Entryinfo

Created: 09/04/2025 21:57
Updated: 09/07/2025 16:48
Changes: 09/04/2025 21:57 (56), 09/07/2025 16:48 (7)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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