Attack Targeting MS‑SQL Servers to Deploy the ICE Cloud Scanner (Larva-26002)

Attack Targeting MS‑SQL Servers to Deploy the ICE Cloud Scanner (Larva-26002)

AhnLab SEcurity intelligence Center (ASEC) has confirmed that the Larva-26002 threat actor continues to target improperly managed MS-SQL servers in 2026. The Larva-26002 threat actor has distributed Trigona and Mimic ransomware in the past, and has since seized control of infected systems and installed scanners. The latest confirmed attack utilizes

Winos4.0 Malware Disguised as KakaoTalk Installer

Winos4.0 Malware Disguised as KakaoTalk Installer

Distribution Method – SEO Poisoning Typically, people perceive the sites that appear at the top of Google search results as the “most authoritative and official” sites. however, threat actors are playing on the psychology of such users, manipulating the search engine’s algorithms to place malicious sites at the top. SEO

February 2026 Infostealer Trend Report

February 2026 Infostealer Trend Report

This report provides statistics, trends, and case information regarding the no. of malware distribution cases, distribution methods, and disguise techniques for Infostealer collected and analyzed during the month of February 2026. Below is a summary of the report’s original content.   1) Data Sources and Collection Methods  AhnLab SEcurity intelligence

February 2026 Security Issues Related to the Korean & Global Financial Sector

February 2026 Security Issues Related to the Korean & Global Financial Sector

This report comprehensively covers actual cyber threats and related security issues targeting financial institutions in South Korea and abroad. It includes analysis of malware and phishing cases distributed targeting the financial sector, presents the Top 10 major malware targeting the financial sector, and provides statistics on the industry sectors of

Analysis of the Decryptable Green Blood v2.0 Ransomware

Analysis of the Decryptable Green Blood v2.0 Ransomware

The Green Blood ransomware group, which has been active since January 2026, has been targeting countries in South Asia, Africa, and parts of South America, and is characterized by its Golang-based ransomware payload. In this post, we analyze the main characteristics of the Green Blood ransomware, its encryption method, and

February 2026 Phishing Email Trends Report

February 2026 Phishing Email Trends Report

This report provides statistics, trends, and case information regarding the distribution volume and attachment threats of phishing emails collected and analyzed during the month of February 2026. The report below contains some statistical data and cases included in the original content. 1) Phishing Email Threat Statistics The most prevalent threat

복호화 가능성이 존재하는 Green Blood 랜섬웨어 분석

복호화 가능성이 존재하는 Green Blood 랜섬웨어 분석

Green Blood 랜섬웨어 그룹은 2026년 1월부터 활동이 확인된 신규 랜섬웨어 그룹으로, Golang 기반의 랜섬웨어 페이로드를 운영하는 것이 특징이다. 이들은 남아시아와 아프리카, 남미 일부 국가를 중심으로 공격을 전개하고 있으며, 다른 랜섬웨어 그룹과 마찬가지로 감염된 시스템의 파일을 암호화하고 피해 기업의 민감 정보를 탈취하는 이중 갈취 방식을 사용한다. 또한 몸값이 지불되지 않을 경우

January 2026 Infostealer Trend Report

January 2026 Infostealer Trend Report

This report provides statistics, trends, and case information regarding the distribution quantity, distribution methods, and obfuscation techniques of Infostealer malware collected and analyzed during the month of January 2026. Below is a summary of the original report content.   1) Data Sources and Collection Methods  AhnLab Security Intelligence Center (ASEC)

January 2026 Security Issues in Korean & Global Financial Sector

January 2026 Security Issues in Korean & Global Financial Sector

This report comprehensively addresses actual cyber threats and related security issues that have occurred in domestic and international financial sector companies. It includes an analysis of malware and phishing cases disseminated targeting the financial sector, presents the top 10 major malware aimed at the financial sector, and provides statistics on

January 2026 Threat Trend Report on Ransomware

January 2026 Threat Trend Report on Ransomware

This report provides the number of affected systems confirmed during January 2026, DLS-based ransomware-related statistics, and notable ransomware issues in Korea and abroad. Below is a summary of some information.   The statistics on the number of ransomware samples and affected systems were based on the diagnostic names assigned by AhnLab,