  As more cars connect to the internet and other devices, the automotive market
has become a lucrative target for cyberattacks. This has made the industry more
vulnerable to security threats. As a result, car manufacturers and governments
are working together to reduce risks and prevent cyberattacks in the automotive
sector. However, existing attack feasibility models derived from the
information technology field may not always provide accurate assessments of the
potential risks faced by Vehicle Electronic Control Units in different
operating conditions and domains. This paper introduces the PUNCH Softronix and
Politecnico di Torino (PSP) framework to address this issue. This framework is
designed to provide accurate assessments compatible with the attack feasibility
models defined by the automotive product security standards. The PSP framework
utilizes social sentiment analysis to evaluate the real threat risk levels.
