CVE-2026-50034: BLE Glucose Data Eavesdropping Vulnerability – Passive Interception Risk
CVE-2026-50034 is a Bluetooth Low Energy (BLE) vulnerability that allows an attacker within wireless range to passively intercept health device communications and extract sensitive glucose measurement data. No special privileges or user interaction are required—an attacker need only be physically proximate to the affected device. This is a passive eavesdropping flaw, not an active exploitation vector, but the information disclosed is medically significant.
Source data · NVD / CISA · public domain
- CVSS
- 3.1 · 6.5 MEDIUM · CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- Weaknesses (CWE)
- CWE-319
- Affected products
- 0 configuration(s)
- Published / Modified
- 2026-06-19 / 2026-06-22
NVD description (verbatim)
An attacker within BLE communication range can passively intercept wireless traffic and obtain sensitive health-related information, including glucose measurement values.
4 reference(s) · View on NVD →
SEC.co analysis · AI-assisted, reviewed against source
Technical summary
The vulnerability stems from insufficient cryptographic protection of BLE traffic (CWE-319: Cleartext Transmission of Sensitive Information). An unauthenticated, adjacent-network attacker can passively capture wireless frames containing glucose readings without triggering any authentication or encryption mechanisms. The CVSS 3.1 score of 6.5 reflects a high confidentiality impact with no integrity or availability compromise. The attack requires physical proximity (AV:A) and no complexity (AC:L), user interaction (UI:N), or privileges (PR:N), making passive interception trivial once an attacker is within BLE range (typically 10–100 meters depending on device power settings).
Business impact
For organizations deploying connected glucose monitors or similar BLE-enabled health devices, this vulnerability poses a direct patient privacy risk. Exposed glucose readings can infer medical conditions, treatment patterns, and health status—information regulable under HIPAA, GDPR, and regional health privacy frameworks. Depending on device deployment (corporate wellness programs, health systems, or home use), breach notification obligations and reputational damage may follow. The passive nature limits immediate exploitation risk but does not eliminate it in environments with persistent attacker presence (e.g., workplaces, hospitals, shared living spaces).
Affected systems
No specific vendor or product list was provided in the CVE record. Organizations must consult vendor advisories and device documentation to determine which BLE health devices are affected. Any glucose monitoring device or similar health sensor relying on unencrypted or weakly protected BLE communication may be vulnerable. Prioritize inventory of connected medical devices and cross-reference against vendor security notices.
Exploitability
Passive interception requires only a BLE-capable radio and proximity to the target device—tools and knowledge are widely available. However, exploitation does not grant attackers control over the device or data modification; they can only read transmitted values. The absence of active exploitation (no packet injection, no device compromise) lowers the barrier to passive eavesdropping but also means the attack is less intrusive than active compromise. The vulnerability is not listed on the CISA Known Exploited Vulnerabilities catalog, suggesting limited real-world weaponization to date, though this does not indicate the flaw is difficult to exploit in practice.
Remediation
Affected device manufacturers should release firmware or hardware revisions that implement robust encryption (e.g., AES-CCM with authenticated encryption) for BLE glucose data transmission. Devices should enforce encryption negotiation and reject unencrypted or weakly authenticated connections. Organizations deploying vulnerable devices should check vendor advisories for patch availability and apply updates promptly. Until patches are available, compensating controls such as radio frequency shielding, network segmentation, or device proximity monitoring may reduce exposure in high-risk environments.
Patch guidance
Consult the device vendor's security advisory for specific patch version numbers and deployment procedures. Patches, if available, are likely to be delivered as firmware updates via the device's companion mobile app or web portal. Test patches in a non-production environment first, especially if the device is integrated into clinical workflows. Verify patch application by confirming BLE encryption negotiation in device logs or via wireless packet analysis. Until patched, consider restricting use of vulnerable devices in public or shared spaces.
Detection guidance
Network defenders can detect BLE eavesdropping indirectly by monitoring for unexpected BLE device discovery, unusual wireless traffic patterns near medical device clusters, or anomalous connection attempts from unrecognized MAC addresses. Wireless intrusion detection systems (WIDS) or BLE-specific scanning tools can identify unencrypted health device broadcasts. Direct detection of passive eavesdropping is difficult, but anomalous device behavior (e.g., rapid repeated readings, unexpected data access) may indicate a nearby attacker attempting data exfiltration. Health device vendors should instrument logging to track BLE connection quality and authentication failures.
Why prioritize this
Although the CVSS score is moderate (6.5), the medical sensitivity of glucose data and the ease of passive interception warrant expedited patching. Health devices face regulatory and liability pressures; breaches can trigger compliance violations and patient notifications. The lack of active exploitation pathways and absence from the KEV catalog suggest lower immediate threat, but organizations with glucose monitoring deployments should still prioritize remediation to avoid privacy incidents.
Risk score, explained
The CVSS 3.1 score of 6.5 (MEDIUM) reflects high confidentiality impact (C:H) with no integrity or availability effects (I:N, A:N). The attack vector is adjacent (AV:A), meaning attacker proximity is required, and low complexity (AC:L) indicates straightforward passive eavesdropping. No special privileges (PR:N) or user interaction (UI:N) are needed. The unchanged scope (S:U) means the flaw does not cross privilege boundaries. While the numerical score is moderate, the medical nature of exposed data and regulatory context elevate practical risk beyond the score alone.
Frequently asked questions
Do attackers need special tools to exploit this vulnerability?
Passive BLE eavesdropping requires a BLE-capable radio (found in many smartphones, laptops, and commercial BLE sniffers) and proximity to the device. No authentication or special privileges are required, making the attack technically simple. However, extracting and interpreting glucose data may require protocol knowledge or reverse engineering.
Is this vulnerability actively exploited in the wild?
The vulnerability is not listed on the CISA Known Exploited Vulnerabilities (KEV) catalog as of the published date, suggesting limited documented real-world attacks. However, the absence from KEV does not guarantee safety; passive eavesdropping may occur undetected, and motivated attackers (e.g., in healthcare settings or targeting high-value health data) could weaponize it.
What should we do if our organization uses vulnerable glucose monitors?
First, check the device vendor's security advisory for patch availability and timelines. Apply patches immediately upon release. Until patches are available, consider restricting device use in public spaces, educating users about proximity risks, and evaluating alternative devices with built-in encryption. Document the vulnerability in your risk register and notify relevant compliance teams (HIPAA, GDPR, etc.).
Can this vulnerability be detected in our network?
Direct detection of passive eavesdropping is difficult because no active network traffic is generated by attackers. However, you can monitor for unencrypted BLE broadcasts from health devices, unusual BLE discovery activity, or unexpected device connections via wireless IDS tools. Regular wireless security assessments near medical device clusters can help identify vulnerable deployments.
This analysis is based on the CVE record published on 2026-06-19 and modified on 2026-06-22. Affected vendors and products were not specified in the source data; consult official vendor advisories for definitive product scope and patch availability. This explainer does not constitute medical, legal, or compliance advice. Organizations subject to healthcare privacy regulations (HIPAA, GDPR, etc.) should involve their legal and compliance teams in remediation decisions. No exploit code or weaponized proof-of-concept is provided herein. Risk assessments should be tailored to your specific device inventory and threat model. Source: NVD (public-domain), retrieved 2026-07-27. Analysis generated by SEC.co (claude-haiku-4-5).
Weaknesses (CWE)
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