Risk identification is the first step on a comprehensive disaster risk management scheme and, nowadays, when new and open source tools to conduct those analyses are becoming widely available, the interest and need to increase the transparency of them has increased. Catastrophic risk due to natural hazards should be considered in a prospective way quantifying the damages and losses before the real event occurs and for that task it is necessary to consider events that have not yet occurred. Since there are uncertainties related to when and where the next hazardous event will happen, how severe will it be and how can it affect the exposed assets, it is important to adopt a probabilistic approach that considers those uncertainties and propagates them through the damage and loss calculation process following a rigorous methodology.