This paper suggests a conceptual model based on machine learning to combat the persistent threat of Fake Bank Alert (FBA) phishing attacks in Nigeria's Internet Banking (IB) system. FBA fraud targets small businesses by masquerading as a bank transaction alert, leading to financial losses and brand erosion. To address this, an extensive literature review was conducted, identifying gaps and informing the development of a model with concrete future recommendations.