CVE-2017-17322 in Honor Smart Scale Application
Summary
by MITRE
Huawei Honor Smart Scale Application with software of 1.1.1 has an information disclosure vulnerability. The application does not sufficiently restrict the resource which can be accessed by certain protocol. An attacker could trick the user to click a malicious link, successful exploit could cause information disclosure.
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Analysis
by VulDB Data Team • 02/21/2023
The vulnerability identified as CVE-2017-17322 affects the Huawei Honor Smart Scale Application version 1.1.1, representing a significant information disclosure flaw that compromises user data confidentiality. This vulnerability stems from inadequate resource access controls within the application's protocol implementation, creating a pathway for unauthorized data exposure. The security weakness manifests when users interact with maliciously crafted links that exploit the application's insufficient validation mechanisms, allowing attackers to gain access to sensitive information that should remain protected. The vulnerability's classification aligns with CWE-200, which addresses information exposure vulnerabilities where insufficient restrictions on resource access enable unauthorized information disclosure. This weakness particularly impacts the application's security model by failing to properly validate and sanitize incoming protocol requests, creating a persistent risk for user privacy.
The technical implementation of this vulnerability demonstrates a critical flaw in the application's protocol handling architecture, where specific communication channels lack proper access control enforcement. The application's failure to adequately restrict resource access through its protocol interface creates an attack surface that malicious actors can exploit through social engineering techniques. When users click on malicious links, the application's insufficient input validation allows unauthorized access to stored user data, potentially including personal health information, weight measurements, and other sensitive metrics collected by the smart scale device. The vulnerability operates at the application layer, specifically targeting the protocol implementation that governs how the application communicates with external systems and user interfaces. This flaw represents a breakdown in the principle of least privilege, where the application fails to properly enforce access controls that should limit data exposure to authorized entities only.
The operational impact of CVE-2017-17322 extends beyond simple data exposure, creating potential risks for user privacy and data integrity that could be exploited for identity theft or targeted attacks. Attackers leveraging this vulnerability could access personal health data, weight tracking information, and potentially other user-specific metrics that might be used for social engineering or financial fraud. The vulnerability's exploitation requires user interaction through malicious links, making it particularly concerning as it combines technical exploitation with social engineering elements. This hybrid attack vector increases the likelihood of successful exploitation while maintaining the element of user deception that makes such attacks more effective. The information disclosure could potentially expose patterns in user behavior, health metrics, or personal routines that attackers could leverage for more sophisticated attacks. The vulnerability's impact is further amplified by the nature of smart scale applications, which typically collect sensitive health-related information that users may not fully appreciate in terms of its security implications.
Mitigation strategies for CVE-2017-17322 should focus on strengthening the application's protocol access controls and implementing robust input validation mechanisms. Security enhancements must include proper resource access restriction enforcement, where the application validates all incoming protocol requests and ensures that only authorized access is permitted to sensitive data. The implementation of secure coding practices should address the underlying protocol handling flaws by incorporating proper access control checks and input sanitization routines. Organizations should consider implementing network-level protections such as web application firewalls to monitor and filter suspicious protocol requests that might exploit this vulnerability. Regular security updates and patches should be deployed to address the identified access control deficiencies, while user education programs can help raise awareness about the risks of clicking unknown links. The remediation approach should align with ATT&CK framework techniques related to privilege escalation and credential access, ensuring that the application's security model properly enforces access controls and prevents unauthorized information disclosure. Additionally, implementing proper logging and monitoring mechanisms can help detect potential exploitation attempts and provide early warning of security incidents related to this vulnerability.