The rapid growth of Android applications has heightened concerns about security, particularly in native code, where vulnerabilities often remain hidden from conventional analysis techniques. This study addresses a critical gap in vulnerability analysis—the reachability functions in native code that are often overlooked during security assessments. By leveraging Ghidra, an advanced reverse engineering tool, this research aims to enhance the detection of vulnerabilities within native libraries (.so files) used by Android applications. The study begins with the identification of key vulnerabilities through static analysis, focusing on critical functions and suspicious strings that could pose security risks. A comprehensive review of existing literature highlights the limitations of current methods, including inadequacies in handling reachability issues within native code. To address these challenges, the study utilizes a dataset of popular Android applications, examining native libraries for signs of exploitation or unsafe coding practices. Our findings demonstrate significant improvements in identifying vulnerabilities compared to traditional analysis approaches, particularly in recognizing dynamic library interactions and unsafe function calls. The results provide valuable insights into enhancing Android security practices, emphasizing the need for developers to adopt more robust analysis tools like Ghidra. This paper also discusses the broader implications of our findings for the Android security ecosystem, offering recommendations for future research and development. The proposed methodology and experimental outcomes represent a significant step towards bridging the gap in vulnerability analysis, ultimately contributing to the creation of more secure Android applications.