The family of sulfur mustards as potent alkylating agents have been used as chemical warfare agents for over a century. The retrospective verification of exposure and, hence, the confirmation of alleged use of this agent remains a challenging task with high demand for resources in the identification, preparation, and analysis of potential specific biomarkers. We herein report a facile and high-throughput methodology demonstrated for biomedical samples using known proteomic workflows and implementing statistical models.