Context-sensitive pointer analysis often generates excessive spurious points-to relations, causing inefficiency and imprecision. We introduce stack filtering, a novel approach using Rust’s stack object lifetime information to address this issue. It eliminates points-to relations involving variables pointing to inactive stack objects beyond their lifetimes. Stack filtering is a lightweight two-phase process. It first assesses stack object liveness using a call graph from Rapid Type Analysis (RTA). Then, this filtering is applied during the main pointer analysis. Evaluations on real-world Rust applications show that stack filtering enhances analysis efficiency, reducing time and memory consumption while improving precision. This makes it a vital tool for Rust’s program analysis and verification, given Rust’s reliance on automatic memory management and a preference for static stack allocation.