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The Attack Surface of a Networked Medical Device

Dr Avi Rubin

Even a device with the most ironclad firmware can still be subject to a broad variety of attacks depending on its interaction with other external components. This presentation will examine commonly overlooked vulnerab...

Summary

### Networked Medical Devices and Clinical Threat Surfaces At 00:00, Professor Avi Rubin (Johns Hopkins University) explores the attack surfaces and threat models associated with modern networked and implantable medical devices across hospital ecosystems.

### The Critical Imperative of Software Bill of Materials (SBOM) At 07:03, Dr. Rubin explains the vital role of Software Bills of Materials (SBOMs) in healthcare. Medical devices—including infusion pumps, surgical robotics, and bedside monitors—regularly embed commercial off-the-shelf software components and legacy third-party libraries that harbor documented vulnerabilities.

### The Regulatory Patching Dilemma At 14:01, the presentation examines the operational conflict between vulnerability remediation and regulatory compliance. Healthcare facilities often delay patching vulnerable devices due to fears of invalidating FDA 510(k) clearances or inadvertently causing clinical downtime in life-support equipment.

### Cloud Telemetry and Transport Security Risks At 21:00, Dr. Rubin evaluates the push toward cloud-connected medical devices. He expresses skepticism regarding streaming sensitive patient physiological telemetry to external cloud platforms, discussing risks of unauthenticated access, HIPAA compliance violations, and network latency.

### Bluetooth Low Energy (BLE) and Device Interfaces Concluding between 28:00 and 35:00, the speaker details wireless attack vectors. Wearable and implantable devices frequently rely on Bluetooth Low Energy (BLE) to communicate with patient smartphones, exposing pairing handshakes to eavesdropping and replay attacks. He concludes by praising recent FDA cybersecurity guidance and urging researchers to engage in responsible disclosure with medical manufacturers.

(AI summary — Gemini Flash)

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