The goal of this project is to use hardware components built-in manufacturing faults as mobile phone IDs. We assessed the applicability of several I/O-related cell phone components, including sensors. Through this process, the focus was on creating hardware issue samples that could then be categorised using the device s speaker and microphone. In our technique, an audio sample was created by playing a known audio file via a mobile phone s speakers and then recording the sound using the same device. The impact of important variables on sample accuracy was examined using a variety of different sample groups. After collecting the samples, the frequency responses were extracted and classified. Data were categorised using a variety of classifiers, with certain label and sample group configurations achieving an accuracy of over 94.4\%. The conclusions of this article suggest that speaker and mike production faults may be exploited for device authentication.