The Meta Attack Language (MAL) provides a framework for creating domain-specific languages tailored to cybersecurity modeling and analysis. However, the discontinuation of graphical editors can disrupt workflows and hinder adoption, necessitating a systematic approach to finding suitable and sustainable replacements. This paper employs Design Science Research to identify, evaluate, and select a suitable graphical modeling tool for the MAL ecosystem. We elicited requirements from five stakeholders familiar with MAL and developed a comprehensive requirements specification artifact. This artifact was then demonstrated by systematically evaluating a set of 26 candidate tools, filtering them based on mandatory criteria. The evaluation led to the identification of ADOxx as the most suitable candidate, balancing MAL’s specific meta-modeling needs with crucial sustainable factors.