CVE-2025-61120 identifies a security vulnerability in the AG Life Logger Android application (package com.donki.healthy), specifically versions 1.0.2.72 and earlier, developed by IO FIT, K.K. The vulnerability stems from improper access control mechanisms within the app. Two primary technical issues are highlighted: first, credentials are exposed in network traffic, indicating that sensitive authentication tokens or keys are transmitted without adequate encryption or are otherwise accessible to interception. This exposure allows attackers to capture these credentials and potentially misuse associated cloud resources, such as storage, processing, or API services linked to the app. Second, the app uses predictable verification codes for account authentication, which significantly lowers the barrier for brute-force attacks. Attackers can automate attempts to guess these codes, facilitating unauthorized account access. Successful exploitation can lead to multiple adverse outcomes: compromise of user accounts, leakage of private health or personal data, and unauthorized consumption or manipulation of cloud resources, which may incur financial costs or degrade service availability. Although no CVSS score is currently assigned, the vulnerability’s characteristics suggest a serious security flaw that requires prompt attention. No known exploits are reported in the wild yet, but the potential impact and ease of exploitation warrant proactive mitigation. The vulnerability affects the confidentiality, integrity, and availability of user data and cloud services tied to the app.

For European organizations, the impact of CVE-2025-61120 could be significant, especially for those involved in healthcare, fitness, or wellness sectors that utilize the AG Life Logger app or its backend cloud infrastructure. Account compromise could lead to privacy breaches involving sensitive health data, which is subject to strict regulations under GDPR. Unauthorized access to cloud resources may result in financial losses due to resource abuse or service disruptions. Additionally, reputational damage could arise from failure to protect user data. The exposure of credentials in transit increases the risk of man-in-the-middle attacks, particularly in environments with insecure or public Wi-Fi networks. The predictable verification codes reduce the effectiveness of authentication controls, making it easier for attackers to gain persistent access. These factors combined could undermine trust in digital health applications and complicate compliance with European data protection laws.

To mitigate this vulnerability, organizations and users should immediately update the AG Life Logger app to a patched version once available. Until then, network traffic should be monitored for suspicious activity, and use of the app on untrusted networks should be minimized. Developers must implement strong encryption protocols (e.g., TLS 1.3) to protect credentials in transit and avoid exposing sensitive tokens. Verification codes should be generated using cryptographically secure random number generators to prevent predictability. Rate limiting and account lockout mechanisms should be enforced to deter brute-force attempts. Cloud resource access should be restricted with robust identity and access management policies, including multi-factor authentication where feasible. Regular security audits and penetration testing of the app and backend services are recommended to identify and remediate similar issues. End users should be educated on the risks of using outdated app versions and encouraged to report suspicious account activity promptly.