over the phone. Phishing schemes may employ pre-recorded messages of notable, regional banks to make them indistinguishable from legitimate calls. Additionally, victims, particularly the elderly, may forget or not know about scammers’ ability to modify their caller ID, making them more vulnerable to voice phishing attacks. The US Federal Trade Commission (FTC) suggests several ways for the average consumer to detect phone scams. The FTC warns against making payments using cash, gift cards, and prepaid cards, and asserts that government agencies do not call citizens to discuss personal information such as Social Security numbers. Additionally, potential victims can pay attention to characteristics of the phone call, such as the tone or accent of the caller or the urgency of the phone call to determine whether or not the call is legitimate. The primary strategy recommended by the FTC to avoid falling victim to voice phishing is to not answer calls from unknown numbers. However, when a scammer utilizes VoIP to spoof their caller ID, or in circumstances where victims do answer calls, other strategies include not pressing buttons when prompted, and not answering any questions asked by a suspicious caller. On March 31, 2020, in an effort to reduce vishing attacks that utilize caller ID spoofing, the US Federal Communications Commission adopted a set of mandates known as STIR/SHAKEN, a framework intended to be used by phone companies to authenticate caller ID information. All U.S. phone service providers had until June 30, 2021, to comply with the order and integrate STIR/SHAKEN into their infrastructure to lessen the impact of caller ID spoofing. In some countries, social media is used to call and communicate with the public. On certain social media platforms, government and bank profiles are verified and unverified government and bank profiles would be fake profiles. Solutions The most direct and effective mitigation strategy is training the general public to understand common traits of a voice phishing attack to detect phishing messages. A more technical approach would be the use of software detection methods. Generally, such mechanisms are able to differentiate between phishing calls and honest messages and can be more cheaply implemented than public training. Detection of phishing A straightforward method of phishing detection is the usage of blacklists. Recent research has attempted to make accurate distinctions between legitimate calls and phishing attacks using artificial intelligence and data analysis. By analyzing and converting phone calls to texts, artificial