CVE-2026-64934 in Mira
Summary
by MITRE • 08/12/2026
The Mira cloud API accepts the firmware version reported by the companion app as authoritative for a given device, without independently attesting the version from the device itself. An authenticated attacker could submit arbitrary firmware version strings for their own device, allowing them to evade vendor-side vulnerable-fleet analytics, suppress security update prompts to the user, and misrepresent patch-adoption metrics.
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Analysis
by VulDB Data Team • 08/12/2026
This vulnerability represents a critical weakness in the device lifecycle management and security monitoring infrastructure of the Mira cloud service. The core issue lies in the trust model where the cloud API blindly accepts firmware version information provided by companion applications without performing independent verification from the actual device. This design flaw creates a fundamental disconnect between the reported device state and the true operational status, enabling attackers to manipulate their device's perceived security posture within the vendor's monitoring systems.
The technical implementation of this vulnerability stems from the absence of device attestation mechanisms within the cloud API validation process. When a companion application communicates with the Mira cloud service, it includes firmware version metadata that the system treats as authoritative without cross-referencing against actual device responses. This approach violates fundamental security principles of defense in depth and least privilege, as the system fails to establish independent verification channels for critical device state information. The vulnerability aligns with CWE-20: Improper Input Validation, specifically manifesting as an improper validation of input data that originates from potentially compromised sources.
The operational impact of this vulnerability extends beyond simple misrepresentation of device status metrics. An authenticated attacker with access to a target device can manipulate their device's reported firmware version to appear as if it is running a secure version when it actually contains known vulnerabilities. This manipulation directly undermines the vendor's ability to maintain accurate vulnerability analytics and threat intelligence about their deployed fleet. The attacker can effectively hide their device from security update prompts, suppress notifications about critical security patches, and present false data to security dashboards that track patch adoption rates across their user base.
The implications for security monitoring and incident response are severe, as this vulnerability enables attackers to evade detection and remediation efforts. By presenting false firmware versions, malicious actors can avoid being flagged in security update campaigns, potentially allowing them to remain vulnerable to exploits that would normally trigger immediate patching mechanisms. This capability also undermines the integrity of security metrics used for compliance reporting and risk assessment, creating a false sense of security within the vendor's operational environment.
Mitigation strategies should focus on implementing robust device attestation protocols where cloud services independently verify firmware versions through direct device communication channels rather than relying solely on application-reported data. The system should establish secure communication channels between the device and cloud service to validate firmware state information, potentially using cryptographic signatures or challenge-response mechanisms. Additionally, vendors should implement anomaly detection systems that can identify statistically improbable firmware version changes or patterns that indicate manipulation attempts. This approach aligns with ATT&CK technique T1566.002: Phishing via Service Provider and addresses the broader category of credential and privilege abuse through proper input validation and verification mechanisms. Regular security audits should validate that device state information cannot be easily manipulated through application-level inputs, ensuring that cloud services maintain accurate and trustworthy operational metrics for their deployed device fleets.