Shinhyup Detects 322 Voice Phishing Cases in First Half of Year... Prevents 2.2 Billion KRW in Damages View original image

[Asia Economy Reporter Song Seung-seop] Shinhan Credit Union announced on the 24th that it prevented a total of approximately 2.2 billion KRW in voice phishing damages in the first half of this year.


The National Credit Union Federation of Korea prevented 244 cases (400 million KRW) through continuous monitoring of the credit union network, and 58 credit unions nationwide blocked 78 cases (1.8 billion KRW) of financial fraud. The number of prevented cases increased by 64% compared to last year's 47 cases.


By region, Gwangju and Jeonnam had the highest number with 16 cases, followed by Daejeon and Chungnam with 13 cases. Incheon and Gyeonggi, and Jeonbuk each had 12 cases, Daegu and Gyeongbuk had 10 cases, Busan and Gyeongnam had 6 cases, Seoul had 4 cases, Chungbuk had 3 cases, and Gangwon and Jeju had 1 case.


Among the types of voice phishing, impersonation of prosecutors and institutions accounted for 37 cases. Loan fraud accounted for 26 cases, and child kidnapping and acquaintance impersonation types recorded 12 cases. There were also 3 cases where the withdrawal agents were apprehended.


Shinhan Credit Union explained that most of the voice phishing damages were prevented thanks to the quick thinking of executives and employees working on site. Accordingly, the federation plans to select outstanding prevention employees in the second half of the year and award them with the chairman's commendation and prizes.



Park Yong-nam, head of the Financial Consumer Protection Office at the National Credit Union Federation of Korea, emphasized, “Voice phishing impersonating loan consultations has increased by exploiting the vulnerable low-income economy due to COVID-19,” and added, “In the second half of the year, we will do our best to eradicate damages through active case sharing of new voice phishing methods and continuous education and promotion for members.”


This content was produced with the assistance of AI translation services.

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