CVE-2026-67558 in Mira
Summary
by MITRE • 08/12/2026
The Mira Android companion app v4.5.15.4 identifies the paired Mira hormone analyzer by performing a substring match against the BLE advertisement name only, with no cryptographic peripheral authentication, MAC allowlist, or bonded-identity check. An attacker could capture live session token information and inject forged hormone measurements into the victim's cloud record and clinical trend view.
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Analysis
by VulDB Data Team • 08/12/2026
The vulnerability in the Mira Android companion app v4.5.15.4 represents a critical security flaw in the Bluetooth Low Energy communication protocol implementation that undermines the integrity of medical data transmission. This weakness stems from an insufficient authentication mechanism that relies solely on substring matching against BLE advertisement names without any cryptographic verification or identity binding processes. The absence of proper peripheral authentication creates a pathway for attackers to exploit the device pairing process and gain unauthorized access to sensitive health information.
The technical implementation flaw manifests as a lack of cryptographic validation during the Bluetooth pairing sequence, where the application accepts any device advertising with a matching substring in its name rather than verifying the actual device identity through secure authentication protocols. This approach directly violates established security best practices and aligns with CWE-312, which addresses the exposure of sensitive information through improper authentication mechanisms. The vulnerability creates an attack surface where malicious actors can intercept legitimate session tokens and inject falsified hormone measurement data into the victim's medical records.
The operational impact of this vulnerability extends beyond simple data integrity concerns to potentially compromise patient safety and clinical decision-making processes. Attackers with access to the application's communication channel could manipulate real-time hormone level readings, leading to incorrect medical interpretations and potentially harmful treatment decisions. The cloud-based synchronization feature means that forged measurements would appear in both local application views and clinical trend displays, making detection more difficult for healthcare providers who rely on accurate historical data for patient monitoring.
The security implications of this vulnerability align with ATT&CK technique T1566 which covers credential harvesting through social engineering and network sniffing. The lack of MAC allowlisting or bonded identity verification creates a persistent risk where attackers can maintain access to medical records over extended periods without detection. This weakness particularly affects healthcare environments where data integrity is paramount for patient care and regulatory compliance with HIPAA standards. The vulnerability demonstrates a critical failure in implementing proper device authentication protocols that should be mandatory for any medical device communicating sensitive health information.
Mitigation strategies should focus on implementing robust cryptographic authentication mechanisms including secure pairing protocols, MAC address validation, and encrypted session token management. The application must enforce strict identity verification before establishing data synchronization with remote servers and implement proper session management to prevent token replay attacks. Additionally, the security architecture should incorporate regular authentication challenges and implement monitoring for unusual data patterns that might indicate injection attacks, ensuring compliance with healthcare security standards and protecting patient safety through proper data integrity controls.