CVE-2025-4737 in com.transsion.aivoiceassistant
Summary
by MITRE • 05/15/2025
Insufficient encryption vulnerability in the mobile application (com.transsion.aivoiceassistant) may lead to the risk of sensitive information leakage.
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Analysis
by VulDB Data Team • 05/15/2025
The vulnerability identified as CVE-2025-4737 represents a critical insufficient encryption flaw within the mobile application com.transsion.aivoiceassistant which operates under the broader category of weak cryptographic practices. This vulnerability stems from the application's failure to implement adequate encryption mechanisms for protecting sensitive user data during transmission and storage phases. The affected mobile application appears to utilize weak or improperly implemented encryption algorithms that do not meet contemporary security standards, creating an exploitable weakness that adversaries can leverage to access confidential information.
The technical nature of this vulnerability aligns with CWE-327 which specifically addresses the use of weak or broken cryptographic algorithms. The application's failure to employ strong encryption protocols such as AES-256 with proper key management, or the complete absence of encryption for sensitive data elements, creates a pathway for attackers to intercept and decrypt communications between the mobile device and backend services. This weakness becomes particularly dangerous when considering that voice assistant applications typically handle highly sensitive personal information including voice recordings, personal conversations, location data, and potentially private communications that users expect to remain confidential.
The operational impact of this vulnerability extends beyond simple data exposure to encompass potential identity theft, privacy violations, and unauthorized surveillance capabilities. Attackers who exploit this weakness can potentially access voice recordings, personal conversations, and other sensitive data that users trust the application to protect. The vulnerability affects the confidentiality aspect of the CIA triad and can lead to cascading security issues when combined with other attack vectors. Mobile applications that handle voice assistant functionality are particularly vulnerable because they often process continuous streams of personal data that users may not fully understand the security implications of, making the risk of exploitation more severe.
Security practitioners should consider implementing mitigations aligned with industry best practices for mobile application security and cryptographic implementation. The primary remediation involves upgrading the application to utilize strong encryption standards including proper key derivation functions, implementing secure communication protocols such as TLS 1.3, and ensuring that all sensitive data is encrypted both at rest and in transit. Organizations should also conduct comprehensive cryptographic assessments and penetration testing to identify similar vulnerabilities across their mobile application portfolio. The remediation efforts should follow established frameworks such as those outlined in NIST Special Publication 800-57 and ISO/IEC 15408 (Common Criteria) to ensure that the encryption implementations meet current security standards and resist known attack vectors. Additionally, regular security audits and code reviews should be implemented to prevent similar cryptographic weaknesses from being introduced in future updates or new application development cycles.