Cybersecurity is a critical field focused on safeguarding digital systems from cyber threats. Within this domain, digital forensics plays a key role in investigating cyber offenses by analyzing evidence from various digital platforms. With the rapid growth of mobile technology and the widespread use of smartphones for communication and transactions, mobile forensics has become an essential subfield. It involves the acquisition, analysis, and preservation of mobile device data to support legal investigations. This paper presents a comprehensive review of mobile forensics, examining its evolution, methodologies, forensic process models, tools, challenges, and the application of machine learning and deep learning techniques. It also references established standards from NIST and SWGDE to recommend best practices, address research gaps, and suggest future directions in mobile forensic investigations.