The quantity of Android apps has grown explosively in re- cent years and the wide variety of apps leaking non-public facts has additionally grown. it's far necessary to make sure all of the apps are not leaking non-public information before putting them to the app markets and thereby a privateness leaks detection tool is wanted. We endorse a static taint evaluation approach that leverages the control-flow graph (CFG) of apps to locate privateness leaks among Android apps. We tackle three troubles related to inter-element verbal exchange (ICC), the lifecycle of components, and the callback mechanism making the CFG imprecision. To bridge this gap, we ex- implicitly join the discontinuities of the CFG to provide a unique CFG. based totally on the ideal CFG, we goal at offering a taint evaluation method to locate intra-factor privateness leaks, inter-factor privacy leaks, and additionally inter-app privacy leaks.