Breaking the Seed Barrier: Discovering Active IPv6 Addresses in Seedless Scenarios
Wenjian Zhang, Guanglei Song, Binkai Ma, Lin He, Songyun Wu, Hongxu Chen, Zhiliang Wang, Jiahai Yang
Abstract
Active address probing is fundamental to large-scale network measurement, asset discovery, and security assessment. Although scenarios with seed addresses have witnessed substantial progress, research in seedless scenarios remains nascent, hindered by a lack of general patterns and the restricted applicability of probing methods, leading to a limited probing boundary and low probing efficiency. We propose 6Genos, a system for active IPv6 address discovery in seedless scenarios. Specifically, 6Genos begins by extracting patterns from seed addresses and identifying general ones to form a pattern library. It then constructs a General Pattern Genealogy Graph to model the hierarchical relationships among these patterns. Finally, it adopts a heuristic dynamic migration probing that adaptively incorporates feedback to achieve precise pattern matching and optimal resource utilization. Experimental results show that 6Genos achieves a hit rate of 1.32% 2.34%, outperforming state-of-the-art methods by 323% 631%. Its coverage reaches 29.33% 31.83%, with 11% 46% improvement. Moreover, 6Genos completes large-scale probing 9.76× faster. By continuously probing all seedless BGP prefixes, 6Genos discovers 1.85B active IPv6 addresses across 46,156 BGP prefixes, significantly expanding the active address boundary and enabling broader-scale IPv6 research.
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