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Quantifying medical device cybersecurity risk with CVSS BTE.

Lorenzo Bracciale1,2, Sasha Riozzi3, Giorgia Panico3,4

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This summary is machine-generated.

The Common Vulnerability Scoring System (CVSS) 4.0's full scoring (Base, Threat, Environmental) improves cybersecurity vulnerability prioritization. Applying this BTE scoring to medical devices reveals more accurate and actionable risk assessments, especially for safety-critical systems.

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Area of Science:

  • Cybersecurity
  • Information Security
  • Medical Device Security

Background:

  • The Common Vulnerability Scoring System (CVSS) is the industry standard for assessing cybersecurity vulnerability severity.
  • Current practices often misuse CVSS by relying solely on the Base Score, neglecting contextual Threat and Environmental metrics.
  • This limited approach leads to suboptimal prioritization, particularly in safety-critical sectors like healthcare.

Purpose of the Study:

  • To conduct the first large-scale application of the full CVSS 4.0 Base, Threat, and Environmental (BTE) scoring.
  • To evaluate the impact of BTE scoring on vulnerability prioritization within a dataset of medical device vulnerabilities.
  • To explore the automation potential for Threat and Environmental metric compilation.

Main Methods:

  • Large-scale application of CVSS 4.0 BTE scoring to a comprehensive dataset of medical device vulnerabilities.
  • Partial automation of the Threat metric group using structured data sources.
  • Semi-automatic compilation of Environmental metrics using defined environmental profiles (e.g., home vs. hospital care).

Main Results:

  • CVSS 4.0 BTE scoring significantly alters vulnerability prioritization compared to Base Score alone.
  • Threat metrics can be partially automated, streamlining the assessment process.
  • Environmental profiles facilitate semi-automatic compilation of Environmental metrics, enhancing contextual risk assessment.

Conclusions:

  • Full CVSS 4.0 BTE scoring provides a more accurate and actionable representation of cybersecurity risk.
  • The methodology enhances prioritization, especially crucial for safety-critical domains such as healthcare.
  • Automation strategies for Threat and Environmental metrics show promise for practical implementation.