MalTree: Tracing Malware Evolution from Embeddings at Scale

MalTree: Tracing Malware Evolution from Embeddings at Scale arXiv:2606.06570v1 Announce Type: new Abstract: Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relationships among malware families can inform proactive defense, but traditional reverse engineering can take months to years to uncover such lineage relationships. We propose MalTree, a framework that applies bioinformati…

https://arxiv.org/abs/2606.06570

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