CVE-2026-102666 in Joyland
Summary
by MITRE • 10/01/2026
The Joyland AI app contains hard-coded credentials for the GeTui push notification service, allowing an attacker to access the GeTui REST API and send push notifications containing arbitrary content to any user, group of users, or all users of the app at once.
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Analysis
by VulDB Data Team • 10/01/2026
The discovery of hardcoded credentials within the Joyland AI application represents a critical failure in secure software development practices, specifically falling under CWE-798: Use of Hard-coded Credentials. This vulnerability arises from the inclusion of sensitive authentication tokens directly into the compiled binary or source code of the mobile application rather than retrieving them dynamically at runtime through a secure backend service. By embedding these credentials for the GeTui push notification service within the app itself, developers have inadvertently provided any user with access to administrative capabilities that should be restricted to authorized server-side operations. This architectural flaw allows malicious actors who can decompile or inspect the application binary to extract the valid API keys and secrets required to authenticate against the GeTui platform.
Once an attacker obtains these hardcoded credentials, they gain the ability to interact directly with the GeTui REST API without needing further authentication steps. The operational impact of this compromise is severe because push notification services are designed for high-reach communication channels that users trust implicitly. An adversary can leverage this access to send arbitrary content to any target audience defined within the application's ecosystem, including individual users, specific user groups, or all registered users simultaneously. This capability transforms a standard messaging feature into a vector for widespread social engineering attacks, phishing campaigns, and malware distribution. The attacker is not limited by rate limits imposed on normal app usage because they are operating as an authenticated administrator of the notification service.
From a threat intelligence perspective, this vulnerability aligns with MITRE ATT&CK technique T1568: Dynamic Resolution, where attackers use cloud infrastructure or legitimate services to host and deliver malicious payloads while evading traditional security controls that focus on static indicators. Furthermore, it relates to T1071: Application Layer Protocol, as the attacker utilizes a standard HTTPS-based API for command and control-like activities disguised as routine push notifications. The ability to broadcast arbitrary content means an attacker could impersonate the application developers or trusted entities within their messages, significantly increasing the success rate of phishing attempts. Users receiving these notifications are likely to click on malicious links embedded in the text because they originate from a channel associated with the app they already trust and use regularly.
Mitigating this vulnerability requires immediate remediation focused on removing all hardcoded secrets from client-side codebases. The GeTui credentials must be deleted from the application binary and replaced with a secure authentication mechanism where the mobile app requests temporary tokens or session keys from a dedicated backend server that holds the master secrets securely in environment variables or a secret management service such as AWS Secrets Manager or HashiCorp Vault. Additionally, implementing certificate pinning can prevent man-in-the-middle attacks during token exchange, although it does not solve the issue of compromised client-side credentials if they are already extracted via reverse engineering. To limit blast radius, organizations should implement strict API rate limiting and anomaly detection on the GeTui dashboard to identify unusual patterns in notification requests, such as sudden spikes in volume or targeting of non-existent user segments. Regular security audits and static application security testing (SAST) tools configured to detect hardcoded secrets are essential preventive measures for future development cycles.