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Active network measurements constitute an impor- tant part in gaining abetter understanding of the Internet. Although IPv4-wide scans are now easilypossible, random active probing is infeasible in the IPv6 Internet. Therefore,we propose a hybrid approach to generate a hitlist of IPv6 addresses forscanning: First, we extract IPv6 addresses from passive flow data. Second, weleverage publicly available resources such as rDNS data to gather further IPv6addresses. Third, we conduct traceroute measurements from several vantagepoints to obtain additional addresses. We perform multiple active measurementson gathered IPv6 addresses and evaluate response rates over time. Weextensively compare all IPv6 address sources. In total we found 150M uniqueIPv6 addresses over the course of four weeks. Our hitlist covers 72% ofannounced prefixes and 84% of Autonomous Systems. Finally, we give concreterecommendations to maximize source efficiency for different scan types.

Scanning the IPv6 Internet: Towards a Comprehensive Hitlist