  Social networks are the prime channel for the spreading of computer viruses.
Yet the study of their propagation neglects the temporal nature of social
interactions and the heterogeneity of users' susceptibility. Here, we introduce
a theoretical framework that captures both properties. We study two realistic
types of viruses propagating on temporal networks featuring Q categories of
susceptibility and derive analytically the invasion threshold. We found that
the temporal coupling of categories might increase the fragility of the system
to cyber threats. Our results show that networks' dynamics and their interplay
with users features are crucial for the spreading of computer viruses.
