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 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
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 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 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
Statistical Report on Malware Targeting Windows Web Servers in Q3 2024
OverviewStatistics1. Status of Attacks Against Windows Web Servers 2. Categorization of Malware Used in Attacks 2.1. Privilege Escalation Tools 2.2. Hacking Tools 2.3. Backdoor 2.4. CoinMiner 3. Statistics on Web Shells Used in Attacks 3.1. Web Shell Statistics 4. Cases of Attacks in Q3 2024 Conclusion Overview AhnLab SEcurity intelligence Center (ASEC)
Statistical Report on Malware Targeting Linux SSH Servers in Q3 2024
OverviewStatistics1. Status of Attacks Against Linux SSH Servers 2. Categorization of Malware Used in Attacks 2.1. IoT DDoS Bot 2.2. Linux SSH Server DDoS Bot 2.3. CoinMiner 2.4. Etc 3. Cases of Attacks in Q3 2024 3.1. Supershell Malware Conclusion Overview AhnLab SEcurity intelligence Center (ASEC) uses honeypots to respond to
Statistical Report on Malware Targeting MS-SQL Servers in Q3 2024
OverviewStatistics1. Attacks Against MS-SQL Servers2. Categorization of Malware Used in Attacks 2.1. Trojan 2.2. HackTool 2.3. Backdoor 2.4. CoinMiner 2.5. Downloader & RansomwareConclusion Overview The ASEC analysis team uses the AhnLab Smart Defense (ASD) infrastructure to categorize and respond to attacks on vulnerable MS-SQL servers. This report will
CERT Report July 2024
01. Monthly Attack Trends Through Statistics Attack Type Statistics Attack type statistics lets you access statistical information on the Top 9 attack types that occurred in the previous month, including the progression of each attack in terms of increase and decrease, as well as attack progression by industry sector and
Statistical Report on Malware Targeting Linux SSH Servers in Q2 2024
Overview AhnLab SEcurity intelligence Center (ASEC) uses honeypots to respond to and categorize brute force or dictionary attacks targeting poorly managed Linux SSH servers. This report will cover the status of attack sources identified in the second quarter of 2024 based on logs, as well as statistics on attacks
