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Attackers can exploit known vulnerabilities to infiltrate a device's firmwareand the communication between firmware binaries, in order to pass between them.To improve cybersecurity, organizations must identify and mitigate the risks ofthe firmware they use. An attack graph (AG) can be used to assess and visuallydisplay firmware's risks by organizing the identified vulnerabilities intoattack paths composed of sequences of actions attackers may perform tocompromise firmware images. In this paper, we utilize AGs for firmware riskassessment. We propose MIRAGE (Multi-binary Image Risk Assessment with AttackGraph Employment), a framework for identifying potential attack vectors andvulnerable interactions between firmware binaries; MIRAGE accomplishes this bygenerating AGs for firmware inter-binary communication. The use cases of theproposed firmware AG generation framework include the identification of riskyexternal interactions, supply chain risk assessment, and security analysis withdigital twins. To evaluate the MIRAGE framework, we collected a dataset of 703firmware images. We also propose a model for examining the risks of firmwarebinaries, demonstrate the model's implementation on the dataset of firmwareimages, and list the riskiest binaries.

MIRAGE: Multi-Binary Image Risk Assessment with Attack Graph Employment