Security Issues in Korean & Global Financial Sector – Malware, Phishing, Deep Web & Dark Web Cases in July 2024
This report comprehensively covers actual cyber threats and related security issues that have occurred targeting domestic and foreign financial companies. It includes analysis of malware and phishing cases distributed targeting the financial sector, presents the top 10 major malware targeting the financial sector, and also provides industry statistics on domestic
Q2 2024 Statistics and Analysis on Smishing Threats
Overview AhnLab detects phishing messages based on machine learning and is conducting analysis and response work for them. This report contains an extensive analysis along with the statistics of smishing messages detected during the second quarter of 2024. During this period, it can be seen that certain types of
Security Issues in Korean & Global Financial Sector – Malware, Phishing, Deep Web & Dark Web in June 2024
This report covers security issues related to the domestic and international financial sector. It consists of content confirmed in phishing, malware, and deep web & dark web. – Statistics on Malware Distributed to Financial Sectors – Statistics on Korean Accounts Exfiltrated Via Telegram by Industry MD5 2586ef80415ac670c1b81367efae7b3d 28127336f11129fd4a3af24e421efdb4 2d67fe77b8b1e53d43ddad90aedd08f0
Security Issues in Korean & Global Financial Sector – Malware, Phishing, Deep Web & Dark Web in May 2024
Statistics on Malware Distributed to Financial Sector Statistics on Korean Accounts Exfiltrated Via Telegram by Industry MD5 0880757f5b51656408c82fb711fc6f68 088b74f4e87aebbc195f3f17a857eef9 2fde0e06e525e4bccd440a098048a453 45ed98fba139350af5022567dcb6ff10 5c53639753a4e974294f8860302d8bac
Security Issues in Korean & Global Financial Sector – Malware, Phishing, Deep Web & Dark Web cases in April 2024
Statistics on Malware Distributed to Financial Sectors Statistics on Korean Accounts Exfiltrated Via Telegram by Industry Phishing Email Distribution Cases Targeting the Financial Sector Case 1. Targeting Yuanta Securities employees using the guise of product orders Impersonation target – Product order How the phishing attack
Trend Report on Smishing – Q1 2024 Statistics and Analysis on Smishing Threats
Overview AhnLab detects phishing messages based on machine learning and is conducting analysis and response work for them. This report contains an extensive analysis along with the statistics of smishing messages detected during the first quarter of 2024. During this period, the number of certain types of phishing attacks
Security Issues in Korean & Global Financial Sector – Malware, Phishing, Deep Web & Dark Web cases in March 2024
Statistics on Malware Distributed to Financial Sectors Statistics on Korean Accounts Exfiltrated Via Telegram by Industry Phishing Email Distribution Cases Targeting the Financial Sector Case 1. Targeting Korea Investment & Securities Co., Ltd. employees by disguising as a voice mail Impersonation target Voice mail How the Phishing
Trend Report on Smishing – Q4 2023 Statistics and Analysis on Smishing Threats
01. Overview AhnLab analyzes and responds to phishing messages detected based on machine-learning. This report provides an extensive analysis along with the statistics of smishing messages discovered during the fourth quarter of 2023. In the fourth quarter of 2023, there was an increase in specific types of attacks such as
Malicious LNK File Being Distributed, Impersonating the National Tax Service
AhnLab Security Emergency response Center (ASEC) has discovered circumstances of a malicious LNK file impersonating the National Tax Service being distributed. Distribution using LNK files is a method that has been used in the past, and recently, there have been multiple cases of distribution to Korean users. The recently identified
