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How can we leverage the URLs posted on online forums to connect forum users with their profiles on other platforms? Most previous studies primarily focus on analyzing textual content and user metadata, paying limited attention to URLs. In this paper, we propose RURLMAN, a modular ensemble of methods for leveraging user-posted URLs to connect online forum users with their cross-platform profiles. Our approach has two key features: (a) we focus on user-posted URLs as the key source of information, and (b) we utilize a modular stacked ensemble integrating multiple methods, including string-matching and two ChatGPT capabilities. We show that RURLMAN effectively combines the strengths of its component methods, outperforming each individual method with an F1 score of 92.6%. We apply RURLMAN in a case study comprising 1.3M URLs posted by 250K forum users across six online security forums and …