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Management is an essential task for the correct behavior of networks. In this field, several aspects should be taken into account. Among them, network topology is one of the most important elements to control. This paper proposes an approach to the topology discovery based on a hybrid methodology. We propose a tool, called HyNeTD (Hybrid Network-Topology Discovery), that effectively combines active and passive measurements to discover network topologies at router level. Architectural choices are presented and discussed and some preliminary experimental results, carried out over a controlled test-bed, are given.