Malformer: A Multi-Modal Malware Detector Using Transformers

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arXiv:2608.19052v1 Announce Type: new Abstract: Traditional malware detection systems that rely on a single representation of malware often fail to identify novel threats. These representations of malware binaries, also known as modalities, do not provide the models with sufficient information to discriminate among all samples. Additionally, individual representations introduce new failure modes, with some modality extraction being dependent upon the success of disassembling. Past works have in