Memory error vulnerabilities (e.g., buffer overflow) are often caused by improper use of memory copy functions. The identification of memory copy functions in binary programs is beneficial for finding memory error vulnerabilities. However, current methods for identifying memory copy functions in binary programs mainly rely on static analysis to extract functions’ features, control flow, data flow, and other information, with a high false positive and false negative. This study proposes a novel technique, namely CPSeeker, based on hybrid static and dynamic analysis to improve the effectiveness of identifying memory copy functions. CPSeeker combines the advantages of static analysis and dynamic analysis, collects the global static information and local execution information of functions in stages, and fuses the extracted information to identify memory copy functions in binary programs. The experimental results show that CPSeeker outperforms the state-of-the-art BootStomp, SaTC, CPYFinder, and Gemini in identifying memory copy functions, despite its increased runtime consumption, and its F1 value reaches 0.96. Furthermore, CPSeeker is not affected by the compilation environment (compiler version, compiler type, and compiler optimization level). In addition, CPSeeker has a better performance in actual firmware tests.