This paper presents a novel framework for analyzing the interrelationships between vehicle dynamics, communication characteristics and cyberattacks on V2X-based functions, highlighting their impact on vehicle safety. The research implements a simulation-based approach and uses various regression models to describe the complex interactions between cyber-physical components, providing a nuanced understanding of the mathematical relationships. It provides a robust simulation framework for assessing DoS attack’s impact on the traffic safety risk. From a societal perspective, it addresses fundamental road safety issues in the face of increasing reliance on connected technologies. From a technical perspective, it presents an innovative ASIL-compatible risk classification methodology for DoS attacks, contributing to standardised cyber threat assessments in line with automotive security standards. The research serves as a methodological basis for investigating DoS attacks on vehicle safety and introduces a quantifiable risk assessment approach that can be used in adaptive security solutions. The risk classification system facilitates scenario assessment, improve intrusion detection and ensure the resilience of connected and intelligent transport systems.