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Organizations employ various adversary models in order to assess the risk andpotential impact of attacks on their networks. Attack graphs representvulnerabilities and actions an attacker can take to identify and compromise anorganization's assets. Attack graphs facilitate both visual presentation andalgorithmic analysis of attack scenarios in the form of attack paths. MulVAL isa generic open-source framework for constructing logical attack graphs, whichhas been widely used by researchers and practitioners and extended by them withadditional attack scenarios. This paper surveys all of the existing MulVALextensions, and maps all MulVAL interaction rules to MITRE ATT&CK Techniques toestimate their attack scenarios coverage. This survey aligns current MulVALextensions along unified ontological concepts and highlights the existing gaps.It paves the way for methodical improvement of MulVAL and the comprehensivemodeling of the entire landscape of adversarial behaviors captured in MITREATT&CK.

A Survey of MulVAL Extensions and Their Attack Scenarios Coverage