Statistical Report on Malware Targeting MS-SQL Servers in 1Q 2025

Statistical Report on Malware Targeting MS-SQL Servers in 1Q 2025

Overview The AhnLab SEcurity intelligence Center (ASEC) analysis team uses the AhnLab Smart Defense (ASD) infrastructure to categorize and respond to attacks on vulnerable MS-SQL servers. This report will cover the current state of damage to MS-SQL servers that became attack targets based on the logs discovered in 1Q 2025,

Statistical Report on Malware Targeting Linux SSH Servers in Q1 2025

Statistical Report on Malware Targeting Linux SSH Servers in Q1 2025

Overview AhnLab SEcurity intelligence Center (ASEC) conducts response and classification of brute force or dictionary attacks targeting poorly managed Linux SSH servers using honeypots. This report will cover the status of attack sources identified in the first quarter of 2025 based on logs, as well as statistics on attacks performed

Statistical Report on Malware Targeting Windows Web Servers in Q1 2025

Statistical Report on Malware Targeting Windows Web Servers in Q1 2025

Overview AhnLab SEcurity intelligence Center (ASEC) responds to and classifies attacks that target inappropriately managed Windows web servers by utilizing the AhnLab Smart Defense (ASD) infrastructure. This post covers the damage status of Windows web servers that have been targeted in attacks and provides statistics on the attacks based on

Damage Case Report on Japanese Companies Afflicted with Ransomware (2017 – 2025)

Damage Case Report on Japanese Companies Afflicted with Ransomware (2017 – 2025)

Introduction Japan ranks second in Asia for the number of ransomware incidents; as many companies with influence in the global economy and major industries are located there, the country has become a major target for threat actors. Attacks targeting Japan have increased sharply especially since 2023, and key industries such

Statistical Report on Phishing Emails in Q4 2024

Statistical Report on Phishing Emails in Q4 2024

Overview AhnLab SEcurity intelligence Center (ASEC) uses the AhnLab Smart Defense (ASD) infrastructure to respond to and classify attacks on poorly managed Windows web servers. This report covers the current state of damage to Windows web servers which had become the target of attacks based on the logs identified in

Statistical Report on Malware Threat in Q4 2024

Statistical Report on Malware Threat in Q4 2024

Overview AhnLab uses the automatic analysis system RAPIT to categorize and respond to malware collected through a variety of routes. This report categorizes and shares statistics on known malware among the ones collected during Q4 2024.   The malware strains included in the statistics are in the executable format and

Statistical Report on Malware Targeting Windows Web Servers in Q4 2024

Statistical Report on Malware Targeting Windows Web Servers in Q4 2024

Overview AhnLab SEcurity intelligence Center (ASEC) responds to and classifies attacks that target inappropriately managed Windows web servers by utilizing the AhnLab Smart Defense (ASD) infrastructure. This post covers the damage status of Windows web servers that have been targeted in attacks and provides statistics on the attacks based on

Statistical Report on Malware Targeting Linux SSH Servers in Q4 2024

Statistical Report on Malware Targeting Linux SSH Servers in Q4 2024

Overview AhnLab SEcurity intelligence Center (ASEC) conducts response and classification of brute force or dictionary attacks targeting poorly managed Linux SSH servers using honeypots. This report will cover the status of attack sources identified in the fourth quarter of 2024 based on logs, as well as statistics on attacks performed

Statistical Report on Malware Targeting MS-SQL Servers in Q4 2024

Statistical Report on Malware Targeting MS-SQL Servers in Q4 2024

Overview The AhnLab SEcurity intelligence Center (ASEC) analysis team uses the AhnLab Smart Defense (ASD) infrastructure to categorize and respond to attacks on vulnerable MS-SQL servers. This report will cover the current state of damage to MS-SQL servers that became attack targets based on the logs discovered in Q4 2024,

Statistical Report on Malware Threat in Q3 2024

Statistical Report on Malware Threat in Q3 2024

  OverviewStatistics1. Malware statistics in Q3 2024 2. Malware Details by Type in Q3 2024 Conclusion   Overview   AhnLab uses the automatic analysis system RAPIT to categorize and respond to malware collected through a variety of routes. This report categorizes and shares statistics on known malware among the ones collected during