The increasing connectivity of cyber-physical systems in the automotive domain demands systematic approaches for identifying and mitigating cybersecurity threats. While ISO 21434 defines a structured workflow for Threat Analysis and Risk Assessment (TARA), it does not prescribe a specific method for identifying attack paths or evaluating risks. This paper proposes a conceptual model grounded in ISO 21434 that integrates the STRIDE threat classification with the CAPEC attack pattern database, focusing on the identification of attack scenarios and risk assessment. Its applicability is demonstrated through a case study involving Bluetooth-based threats to an automotive headlamp system.

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