Malware remains a critical challenge within the domain of working frameworks and program, with Android frameworks being no special case. In spite of past endeavors utilizing Signature-based methods for malware detection, their restrictions in distinguishing obscure malwares are apparent. The scene is characterized by a large number of location and investigation strategies, however viably tending to the precise recognizable proof of novel malware remains a basic concern. Our technique involves leveraging a comprehensive dataset of consents related with pernicious applications. Furthermore, our approach amplifies past authorizations and dives into the semantic layer by subjecting the application's comments to thorough investigation. Through this comprehensive system, we point to supply an inventive and compelling arrangement that increases the exactness of malware location, especially centering on tending to the challenges postured by rising and already obscure malware strains.