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CVE-2025-21019 is an improper authorization vulnerability in Samsung Health that allows local attackers to access sensitive data stored within the application. It affects Samsung Health versions prior to 6.30.1.003 and was published on August 6, 2025. User interaction is required to trigger the vulnerability. It carries a CVSS v3.1 base score of 5.5 (Medium) (Samsung Mobile Advisory, ENISA EUVD).
The vulnerability is classified as CWE-285 (Improper Authorization), meaning Samsung Health fails to properly enforce access controls on sensitive data within the application. An attacker with local access to the device can exploit this flaw to read health-related data they should not be authorized to access. The attack vector is local, requires no privileges, has low complexity, but does require user interaction to trigger. No public technical write-ups or proof-of-concept code have been identified (Samsung Mobile Advisory, ENISA EUVD).
Successful exploitation results in a high confidentiality impact, exposing sensitive personal health data stored in Samsung Health (e.g., fitness metrics, medical records, activity history) to unauthorized local parties. There is no impact on integrity or availability. The scope is limited to the affected device and application, with no evidence of lateral movement potential (ENISA EUVD).
There is no known public proof-of-concept exploit and no evidence of in-the-wild exploitation at this time. The EPSS score is approximately 0.013% (0.000130), indicating a very low probability of exploitation in the near term. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities catalog (ENISA EUVD).
Samsung has released a patch in Samsung Health version 6.30.1.003. Users should update Samsung Health to version 6.30.1.003 or later via the Galaxy Store or Google Play Store. As interim measures, users should limit physical access to their devices and be cautious of suspicious interactions within the Samsung Health app (Samsung Mobile Advisory).
Source: This report was generated using AI
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