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The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation
2020
Proceedings of the 15th ACM Asia Conference on Computer and Communications Security
Generic taint analysis is a pivotal technique in software security but suffers from staggeringly high overhead. In this paper, we explore the hypothesis whether just-in-time (JIT) generation of fast paths for tracking taint can enhance the performance. To this end, we present the Taint Rabbit, which supports highly customizable user-defined taint policies and combines a JIT with fast context switching. Our experimental results suggest that this combination outperforms notable existing
doi:10.1145/3320269.3384764
dblp:conf/ccs/GaleaK20
fatcat:nzsmwzdp4jh6vglaxtghfduqky