People in Their 50s Particularly Vulnerable to Voice Phishing... Loan Fraud Most Common
Financial Supervisory Service Analyzes Big Data on Voice Phishing Victims
[Asia Economy Reporter Kim Hyo-jin] It has been revealed that people in their 50s are particularly vulnerable to voice phishing scams. Additionally, most voice phishing incidents were found to be loan fraud schemes.
On the 10th, the Financial Supervisory Service (FSS) announced that this was the result of a big data analysis of the attributes of 135,000 victims who suffered from voice phishing over the past three years.
According to the FSS, among all age groups, victims in their 50s accounted for the largest share at 32.9%, followed by those in their 40s (27.3%) and 60s (15.6%).
Among all cases, 76.7% (104,000 people) were loan fraud cases, while 23.3% (31,000 people) were impersonation scams.
Since 2016, the proportion of loan fraud cases has consistently been higher than that of impersonation scams in overall incidents.
In loan fraud cases, victims in their 50s accounted for the largest share at 33.2%, followed by those in their 40s (31.4%) and 30s (16.1%).
Impersonation scam victims also had the highest proportion in their 50s at 32.0%, followed by those in their 60s (24.3%), 40s (13.6%), and 20s (12.3%).
The gender distribution of victims was similar, with males at 51.6% and females at 48.4%.
The distribution of victims' credit ratings showed differentiated patterns depending on the type of scam. Loan fraud victims were mostly low-credit individuals (58.8%), followed by medium-credit (36.4%) and high-credit (4.8%) individuals, indicating that lower credit ratings corresponded to higher vulnerability to loan fraud.
The FSS plans to provide customized guidance to customers who are highly likely to be victims based on the analysis of customer attributes held by financial companies, and to strengthen voice phishing prevention questionnaires when secondary financial institutions such as credit card and specialized credit finance companies, where victim funds are concentrated, handle loans.
Furthermore, the FSS intends to enhance the fraud detection systems of financial companies by analyzing big data on customer attributes to improve prevention functions, focusing on potentially vulnerable customers.
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They also plan to strengthen voice phishing prevention publicity and education that reflect victim attributes.
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