Loan fraud poses a significant challenge to financial institutions, affecting consumers and institutions alike through monetary losses and compromised personal information. The rise of mobile banking apps has increased the risk of such fraud, with attackers using various tactics, including identity theft, phishing, and bot attacks, to access personal data and secure loans under false pretenses. Loan fraud can take many forms, such as inflating income on applications or using malware and phishing to obtain personal data for fraudulent purposes. To combat this, financial institutions are adopting advanced fraud detection systems, such as machine learning and AI-driven identity verification processes, and implementing security measures like multi-factor authentication and video call verification to prevent unauthorized access. Additionally, technology like Fingerprint can help identify fraudulent activity by analyzing device and browser elements, thereby enabling institutions to take proactive steps against potential fraud attempts.