Blue Goat CyberSMMedical Device Cybersecurity
    K
    Premarket · Diabetes / CGM

    Medical Device Penetration Testing for Diabetes & CGM

    Penetration testing for CGMs, insulin pumps, and AID systems. BLE pairing, dose-command integrity, mobile-app trust, and cloud follow-up tested end-to-end.

    Last reviewed March 2026 · Reviewed against the FDA Feb 3, 2026 final premarket cybersecurity guidance.

    How this applies to Diabetes / CGM

    Diabetes devices - CGMs, insulin pumps, automated insulin delivery (AID) systems, smart pens - are the highest-volume connected medical devices in the world, and uniquely combine consumer-grade BLE pairing with a dose-delivery actuator. A spoofed glucose value or a forged bolus command is a direct patient-harm event. Our pen testing for this segment focuses on three loops: sensor-to-mobile, mobile-to-pump (in AID systems), and device-to-cloud follow-up.

    On BLE we test pairing mode (Just Works vs. passkey vs. OOB), session-key derivation, MAC randomization actually being enforced, and whether the device trusts a previously-bonded peer too aggressively. We test the dose-command channel for replay (can we re-send last bolus?), reorder, and out-of-range bolus rejection at the device - not just at the app. We deliberately compromise the mobile app (rooted/jailbroken, instrumented) to verify the device does not collapse to trusting whatever the app says; this is where AID systems most often fail. Finally, we evaluate the cloud follow-up stack: Tidepool-style data sharing, caregiver follow-mode, and any clinician portal - looking for IDOR, cross-tenant data leak, and weak account recovery flows that have been the published incident pattern in this space. Our reports are written so your dose-safety reviewer can accept them as risk-control evidence under ISO 14971 and IEC 62304 Class C software.

    Attack surface

    Layers we exercise in this engagement

    The diabetes / cgm system, from the outermost cloud and clinician surfaces down to the device itself. Highlighted layers are exercised by this medical device penetration testing.

    1. 01Clinician dashboard
    2. 02Cloud APIs Tested
    3. 03Mobile companion app Tested
    4. 04BLE pairing Tested
    5. 05Sensor / transmitter Tested
    6. 06Insulin pump (closed-loop) Tested

    Layers shown outermost (top) to innermost (bottom). Dashed rows are part of the surrounding system but out of scope for this view.

    How the engagement runs

    Medical Device Penetration Testing engagement, end to end

    Four phases, fixed fee, scoped to diabetes / cgm architecture from kickoff onward.

    1. 01

      Scope + kickoff

      Architecture review, attack-surface walkthrough, and threat-model alignment with your team. Written scope in 24 hours.

    2. 02

      Threat-model alignment

      Every STRIDE entry in your threat model is matched to a planned test case so reviewers see one-to-one coverage.

    3. 03

      Test execution

      Device, cloud, mobile, BLE/RF, and OTA channels exercised in parallel by senior engineers - not a single web-app scan.

    4. 04

      Reviewer-ready report + retest

      eSTAR-format report with findings, CVSS, remediation, and unlimited retests until every finding is closed.

    Common findings

    What we see in Diabetes / CGM medical device penetration testing

    The patterns we hit in this segment, this service, again and again.

    • Bonded-peer trust extends past device pairing UX

      Pump remains bonded to a previously paired phone after the user 'forgets' the device on the app side. A second app instance with the bond key can still issue commands.

    • Bolus command replay accepted within session window

      Pump rejects replayed packets across sessions but not within a single connection. Captured-and-resent bolus during the same connection succeeds - full delivery.

    • Mobile app is the only enforcer of max-bolus

      Maximum-bolus and stacked-bolus rules computed in app, sent as 'approved' to pump. Instrumented app bypasses checks; pump delivers without re-validation.

    • CGM sensor authentication tied to predictable serial

      Companion-app session bound to sensor serial with weak entropy. Sniffed serial allows a second app to subscribe to the same sensor stream without re-pairing.

    • Caregiver follow-mode exposes glucose history cross-account

      /follow/{userId}/history endpoint returns full CGM history when called by an authenticated caregiver who was never granted that user. Classic IDOR.

    Notable incidents

    Public diabetes / cgm cybersecurity history

    Recalls, CISA ICS-MA advisories, and disclosed research that shape what reviewers ask about in this segment - and what our scope is built to cover.

    "Blue Goat Cyber helped us navigate our first end-to-end cybersecurity testing for our wearable medical device. Their communication was excellent, their timeline exceeded expectations, and their report helped us achieve FDA clearance without any additional questions. It was a truly seamless experience."
    Anna Norman
    Anna Norman
    VP of Product · InfoBionic.Ai
    What you get

    Standard Medical Device Penetration Testing deliverables

    The same deliverables the parent Medical Device Penetration Testing service ships with - tuned to your diabetes / cgm architecture.

    • Device, firmware, and embedded testing - hardware teardown, JTAG/UART/SPI bus access, firmware extraction and reverse engineering, and exploitation of the secure boot, debug, and update paths. Done by operators who have tested infusion pumps, monitors, surgical robots, and implantables.
    • Companion app and cloud API coverage - iOS/Android binary analysis, BLE pairing/GATT attacks, REST/MQTT/gRPC fuzzing, authentication and authorization testing, and tenant-isolation checks. We test the device as patients and clinicians actually use it, not in isolation.
    • FDA-ready penetration test reports - executive summary, methodology, CVSS-scored findings tied to your threat model, reproduction steps, and a Letter of Attestation formatted to the FDA's 2026 premarket guidance. Reviewer-ready, not a generic IT security PDF.
    • Remediation guidance and re-test included - written fix recommendations per finding, engineer-to-engineer support during remediation, and unlimited re-tests of fixed issues inside the fixed fee. You leave with a clean report, not a list of open items.
    Deliverable preview

    What lands in your eSTAR submission

    Reviewer-format documents ready to drop straight into the cybersecurity attachments of your submission - no reformatting on your side.

    Sample
    Medical Device Penetration Testing
    for Diabetes / CGM
    eSTAR · 524B · AAMI SW96
    • Device, firmware, and embedded testing - hardware teardown, JTAG/UART/SPI bus access, firmware extraction and reverse engineering, and exploitation of the secure boot, debug, and update paths. Done by operators who have tested infusion pumps, monitors, surgical robots, and implantables.
    • Companion app and cloud API coverage - iOS/Android binary analysis, BLE pairing/GATT attacks, REST/MQTT/gRPC fuzzing, authentication and authorization testing, and tenant-isolation checks. We test the device as patients and clinicians actually use it, not in isolation.
    • FDA-ready penetration test reports - executive summary, methodology, CVSS-scored findings tied to your threat model, reproduction steps, and a Letter of Attestation formatted to the FDA's 2026 premarket guidance. Reviewer-ready, not a generic IT security PDF.
    • Remediation guidance and re-test included - written fix recommendations per finding, engineer-to-engineer support during remediation, and unlimited re-tests of fixed issues inside the fixed fee. You leave with a clean report, not a list of open items.
    Standards

    Standards that apply

    The Diabetes / CGM baseline, plus the call-outs that matter for medical device penetration testing in this segment.

    FDA 2026 Premarket Cyber Guidance
    AAMI SW96
    IEC 62304
    ISO 14971
    ISO/IEC 27001

    Segment-specific call-outs

    IEC 62304 Class C + ISO 14971 dose-safety risk controls

    Every cyber finding that touches the dose pathway is a Class C software risk control. The pen test evidence must be cross-referenced from the risk file, not just attached.

    Bluetooth SIG Medical Device Profile / GATT pairing

    Reviewers will ask which pairing method is used and why. We document the choice and its threat-model justification, not just the test result.

    Honest scoping

    What's not in scope

    We scope tightly on purpose. These items are either out-of-scope by design or belong in a separate engagement - we'll tell you up front, not after kickoff.

    • Hospital enterprise IT network penetration testing
    • Clinical efficacy or human-factors validation
    • Physical security of manufacturing sites
    • Source-code review (unless explicitly added as a separate engagement)
    FAQs

    Medical Device Penetration Testing for Diabetes / CGM - FAQs

    The questions buyers in this segment actually ask before scoping a medical device penetration testing engagement.

    Related reading

    Go deeper on Diabetes / CGM and premarket

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    Pair this with

    Other engagements for Diabetes / CGM

    Teams in this segment commonly bundle these alongside medical device penetration testing.

    Keep going

    Medical Device Penetration Testing · Diabetes / CGM

    Scope a Medical Device Penetration Testing engagement for your diabetes / cgm program.

    A 30-minute call with a senior engineer who has done this in diabetes / cgm before - not a sales rep.