MAECO-Lite: Modular Ontology for Dynamic Malware Analysis

ArXi:2605.31199v1 Announce Type: cross Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. While standards such as MAEC and STIX provide widely adopted vocabularies for describing malware artifacts and observations, they represent data with considerable complexity in structures that often obscure important ontological distinctions.