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CVE Vulnerability Database
Vulnerability Database/CVE-2026-2671

CVE-2026-2671: Mendi Headset Information Disclosure Flaw

CVE-2026-2671 is an information disclosure vulnerability in Mendi Neurofeedback Headset V4 affecting Bluetooth Low Energy Handler. Sensitive data is transmitted in cleartext over local networks. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published: March 13, 2026

CVE-2026-2671 Overview

A cryptographic vulnerability has been identified in the Mendi Neurofeedback Headset V4 affecting the Bluetooth Low Energy (BLE) Handler component. This vulnerability allows sensitive information to be transmitted in cleartext over the wireless communication channel, potentially exposing user data to attackers within adjacent network range. The vulnerability requires local network access and is considered difficult to exploit due to high attack complexity.

Critical Impact

Sensitive neurofeedback data transmitted via Bluetooth Low Energy can be intercepted by attackers in adjacent network range due to lack of encryption in the BLE Handler component.

Affected Products

  • Mendi Neurofeedback Headset V4
  • Bluetooth Low Energy Handler Component

Discovery Timeline

  • 2026-03-07 - CVE CVE-2026-2671 published to NVD
  • 2026-03-09 - Last updated in NVD database

Technical Details for CVE-2026-2671

Vulnerability Analysis

This vulnerability falls under CWE-310 (Cryptographic Issues), indicating a fundamental weakness in the device's cryptographic implementation within its Bluetooth Low Energy communication stack. The BLE Handler component fails to properly encrypt sensitive information before transmission, resulting in cleartext data exposure over the wireless channel.

The attack requires proximity to the target device, as Bluetooth Low Energy has a limited effective range. An attacker positioned within this range could potentially intercept neurofeedback session data, device configuration information, or other sensitive user data transmitted between the headset and its companion application.

The exploitation difficulty is considered high due to the need for specialized BLE sniffing equipment, proximity requirements, and timing considerations necessary to capture meaningful data during active sessions.

Root Cause

The root cause of this vulnerability lies in the improper implementation of cryptographic controls within the Bluetooth Low Energy Handler component. The device transmits sensitive information without adequate encryption, violating security best practices for wireless medical and consumer health devices. This cryptographic weakness allows passive eavesdropping on BLE communications.

Attack Vector

The attack vector requires adjacent network access, meaning an attacker must be within Bluetooth Low Energy range of the target device. The attacker would utilize BLE sniffing tools to capture packets transmitted between the Mendi Neurofeedback Headset and its paired mobile application. Due to the cleartext transmission, intercepted packets would reveal sensitive information without requiring decryption.

The attack scenario involves:

  1. Positioning within BLE range of an active Mendi Neurofeedback session
  2. Using BLE packet capture tools to intercept wireless traffic
  3. Analyzing captured packets to extract sensitive neurofeedback data

For detailed technical information, refer to the Radio Mendi Document and VulDB Entry #349702.

Detection Methods for CVE-2026-2671

Indicators of Compromise

  • Unusual BLE scanning activity in proximity to Mendi Neurofeedback Headset devices
  • Unknown or unauthorized devices appearing in Bluetooth pairing logs
  • Anomalous packet capture traffic patterns near sensitive areas where devices are used

Detection Strategies

  • Monitor for unauthorized BLE scanning devices in environments where Mendi headsets are used
  • Implement RF monitoring to detect potential BLE eavesdropping equipment
  • Review Bluetooth connection logs for unexpected pairing attempts or suspicious device interactions

Monitoring Recommendations

  • Establish physical security controls in areas where neurofeedback sessions occur
  • Implement wireless intrusion detection systems capable of monitoring BLE spectrum
  • Conduct periodic RF surveys to identify unauthorized listening devices

How to Mitigate CVE-2026-2671

Immediate Actions Required

  • Use the Mendi Neurofeedback Headset only in controlled, secure environments with restricted physical access
  • Avoid conducting neurofeedback sessions in public spaces or areas where unauthorized individuals may be present
  • Consider the sensitivity of data being collected and limit use until a vendor patch is available

Patch Information

As of the last NVD update on 2026-03-09, no vendor patch has been released. The vendor was contacted about this disclosure but did not respond. Users should monitor the VulDB submission #766457 and vendor channels for updates on potential fixes.

Workarounds

  • Restrict use of the Mendi Neurofeedback Headset V4 to private, physically secured locations
  • Implement environmental controls to limit unauthorized physical access within BLE range
  • Consider using RF shielding in sensitive areas to reduce the effective range of BLE transmissions
  • Document and accept residual risk if continued use is necessary before a patch becomes available

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechMendi Neurofeedback

  • SeverityLOW

  • CVSS Score2.3

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:A/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-310
  • Technical References
  • Radio Mendi Document

  • VulDB CTI ID #349702

  • VulDB #349702

  • VulDB Submission #766457
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