In September 2026, multiple advanced persistent threat (APT) campaigns targeted South Korean organizations using spear phishing emails. The attacks employed various techniques such as LNK files with embedded PowerShell scripts, HTA files downloaded via curl.exe, and malicious DLLs. Five attack types were identified, deploying AutoIt scripts, infostealers, keyloggers, backdoors including XenoRAT, and persistence via Task Scheduler. Attackers used legitimate platforms like GitHub, Google Drive, and PubNub for command and control. Malicious files were disguised as legitimate documents to deceive victims and exfiltrate system information, credentials, and virtual asset data while maintaining persistent access.
An investigation into malware delivery infrastructure reveals an operator using GitHub repositories to stage malicious loaders and RAT payloads. Starting from commit metadata, researchers traced an email address to a compromised machine via stealer log databases. The infected workstation exposed a complete operational pipeline including multiple RAT families (AsyncRAT, DcRat, Remcos, XWorm), phishing templates impersonating Colombian government institutions, bulk email software, and commercial crypter services. The operator maintains delivery infrastructure across GitHub, Bitbucket, AWS S3, and DuckDNS for command-and-control. Phishing campaigns target Colombian organizations using judicial notification and traffic violation lures with password-protected archives. The investigation demonstrates how infrastructure analysis and operational security failures can expose entire malware production workflows beyond individual samples.
In July 2026, multiple APT campaigns targeted South Korean entities using spear phishing emails with malicious LNK files. Seven distinct attack types employed various techniques such as PowerShell scripts, AutoIt programs, DLL side-loading, and curl.exe downloads. Malware was distributed via platforms like GitHub, Google Drive, and Dropbox, disguised as legitimate documents or resumes. The campaigns deployed backdoors, infostealers, keyloggers, and XenoRAT malware to exfiltrate sensitive information and maintain persistence through Task Scheduler entries. Communication with command and control servers used PubNub channels with Base64-encoded data. The attacks focused on deceiving victims with work-related content to execute malicious payloads.
AhnLab monitored Advanced Persistent Threat attacks targeting South Korea during June 2026, identifying multiple attack types distributed primarily through spear phishing campaigns. Threat actors disguised malicious files as work-related documents, with LNK files being the most common delivery method. Six distinct attack types were observed, employing various techniques including malicious PowerShell commands, AutoIt malware, curl.exe abuse, GitHub repository exploitation, Task Scheduler persistence, DLL side-loading, and Python backdoors. These attacks deployed Infostealers, keyloggers, backdoors, and remote access tools like XenoRAT. Once executed, the malware established persistence, exfiltrated system information, and enabled remote control of compromised systems. Organizations are advised to verify email senders, avoid opening files from unknown sources, apply security patches, and maintain updated antivirus software to mitigate these persistent threats.
Since late March 2026, a large-scale phishing campaign has been deploying malware including Agent Tesla, Remcos, XWorm, and Best Private LOGGER through fileless techniques and low-detection Lua-based loaders. Attackers impersonate well-known companies using business cooperation lures to distribute malicious archives containing obfuscated JavaScript files. These scripts deploy either AutoIt or LuaJIT interpreters alongside disguised scripts masquerading as TrueType Font (.ttf) files. The Lua loaders employ sophisticated anti-analysis techniques including custom ROT ciphers, decoy memory allocation, and Donut shellcode generation for reflective in-memory payload execution. The campaign evolved from simpler implementations in October 2025 to highly complex versions by June 2026, incorporating API unhooking and advanced debugging countermeasures. Victims are ultimately infected with Remote Access Trojans and infostealers that enable full system control and extensive data exfiltration.
Analysts discovered a new Remcos RAT infection chain starting with a batch file executing encoded commands that creates hidden directories and retrieves encrypted payloads. Unlike earlier campaigns relying on PowerShell-hosted .NET loaders, this variant incorporates DonutLoader shellcode and AutoIt-based staging for in-memory payload delivery. The infection begins with a phishing email containing a malicious batch file named Bestellung.CMD. The chain abuses legitimate Windows utilities including cscript.exe and SyncAppvPublishingServer.vbs to execute Base64-encoded payloads. Additional components are downloaded from cloud storage, including 7Zip tools and password-protected archives containing obfuscated JScript. The final payload consists of DonutLoader shellcode that injects Remcos RAT version 7.2.1 Pro into colorcpl.exe, enabling remote control, credential harvesting, keystroke logging, and additional payload deployment.
A sophisticated multi-stage infection chain was identified through proactive threat hunting, beginning with the execution of MicrosoftToolkit.exe, a commonly abused hack tool. The attack employed file masquerading techniques, renaming a .dot file to .bat format to evade detection. The malware performed process discovery and attempted to terminate security-related processes before extracting payloads using extract32.exe. An AutoIt-compiled executable (Replies.scr) functioned as a loader, processing an external encrypted payload file and establishing command-and-control communication with infrastructure associated with Vidar Stealer. The malware demonstrated advanced anti-analysis capabilities, including debugger detection and instrumentation callback queries. It targeted credentials, browser data, cryptocurrency wallets, and system information. Post-execution cleanup routines deleted artifacts and terminated processes to minimize forensic evidence and evade detection, significantly complicating incident res...
This report details the discovery and analysis of a Horabot malware campaign targeting primarily Mexican users. The attack chain begins with a fake CAPTCHA page leading to multiple stages of obfuscated scripts, ultimately delivering an AutoIT loader and a Delphi-based banking Trojan. The malware employs sophisticated encryption techniques, anti-VM checks, and a custom protocol for C2 communication. It also includes a spreader component written in PowerShell that harvests and exfiltrates email addresses to distribute phishing emails. The analysis reveals Brazilian Portuguese comments in the code, suggesting the threat actor's origin. The report provides detection opportunities including YARA rules and hunting queries to identify this threat.
The Konni Group conducted a sophisticated multi-stage attack campaign, initiating with a spear-phishing email disguised as a North Korean human rights lecturer appointment. The attack progressed through execution of a malicious LNK file, installation of remote access malware, and long-term persistence for data theft. A key feature was the unauthorized access to victims' KakaoTalk PC applications, used to distribute additional malicious files to selected contacts. The campaign employed multiple RAT families, including EndRAT, RftRAT, and RemcosRAT, with a distributed C2 infrastructure across Finland, Japan, and the Netherlands. The threat actor's tactics included trust-based propagation, account session abuse, and modular payload deployment, highlighting the need for advanced behavior-based detection and multi-layered defense strategies.
Operation Poseidon is a sophisticated spear-phishing campaign attributed to the Konni APT group. The attackers exploit Google Ads redirection mechanisms to bypass security filters and user awareness. They compromise poorly secured WordPress sites for malware distribution and C2 infrastructure. The campaign uses social engineering tactics, impersonating North Korean human rights organizations and financial institutions. Malware is delivered through LNK files disguised as PDF documents, executing AutoIt scripts that load EndRAT variants. The attackers employ advanced evasion techniques, including email content padding and abuse of legitimate advertising URLs. The campaign demonstrates evolving tactics and infrastructure reuse consistent with previous Konni activities.
The Lumma infostealer is a sophisticated malware distributed as Malware-as-a-Service, targeting Windows systems. It primarily steals sensitive data such as browser credentials, cryptocurrency wallets, and VPN/RDP accounts. Lumma is often used in the initial stages of multi-vector attacks, including ransomware and network breaches. The malware is distributed through phishing sites, disguised as pirated software, and uses complex techniques like NSIS packaging, AutoIt scripts, and process hollowing to evade detection. To combat this threat, organizations should implement behavior-based detection systems and integrate threat intelligence into their security strategies.
A phishing campaign targeting Brazilian users spreads a banking trojan via WhatsApp Web by leveraging an open-source automation script. The attack starts with a malicious VBS script in a phishing email that downloads and executes an MSI installer and another VBS script. The second VBS installs Python and Selenium to inject malicious JavaScript into WhatsApp Web, enabling the malware to propagate by sending itself to the victim's contacts. The MSI drops an AutoIt script that monitors for Brazilian banking and cryptocurrency application windows and loads an encrypted payload into memory to evade detection. This payload specifically targets Brazilian financial institutions and cryptocurrency wallets. The campaign uses in-memory execution and automation to maintain stealth and persistence. No known exploits in the wild have been reported yet, and the campaign is currently assessed as medium severity. The attack is highly tailored to Brazilian users and financial targets but could pose risks if similar tactics spread elsewhere.
EndClient RAT is a newly identified Remote Access Trojan attributed to the North Korean Kimsuky group, targeting human rights defenders. Delivered via a signed Microsoft Installer package disguised as 'StressClear.msi', it uses AutoIT scripts for execution and establishes persistence through scheduled tasks and startup folder entries. The malware communicates with its command and control server using a custom protocol with JSON markers, enabling remote shell access, file upload/download, and system reconnaissance. It employs in-memory modules for binary search, Base64 encoding/decoding, and LZMA decompression to evade detection. Detection rates are currently low, increasing the risk of undetected compromise. While primarily targeting North Korean human rights defenders, the malware's capabilities pose risks to any organization with similar exposure or interest. No known exploits in the wild have been reported yet, but the threat is medium severity due to its stealth and persistence mechanisms.
This analysis focuses on a new variant of Lumma Stealer, a malware that reemerged after a brief hiatus following a law enforcement operation. The article details the malware's code obfuscation, evasion techniques, and persistence mechanisms. It describes Netskope's machine learning-based detection approach, which utilizes a Cloud Sandbox enhanced with ML models to analyze runtime behavior, process trees, and other features. The specific sample analyzed is an NSIS installer file that abuses AutoIt for malicious purposes. The malware employs various anti-analysis techniques and establishes persistence through the Windows Startup folder. Netskope's multi-layered threat protection system successfully detected this Lumma Stealer variant.
The Kimsuky APT group has launched a sophisticated spear-phishing campaign using AI-generated deepfake military ID cards to target South Korean defense institutions. The attack impersonates military employee ID issuance processes and exploits ChatGPT to create convincing fake ID images. The malware employs obfuscated batch files and AutoIt scripts to evade detection, connecting to command and control servers for further payload deployment. The campaign demonstrates the evolving tactics of state-sponsored threat actors in leveraging AI technologies for cyber espionage. Analysis reveals connections to previous Kimsuky operations targeting unification researchers and government agencies, highlighting the persistent nature of the threat.
CastleLoader, a versatile malware loader, has infected 469 devices since May 2025 using Cloudflare-themed ClickFix phishing and fake GitHub repositories. It delivers information stealers and RATs, with a 28.7% infection rate. The malware employs sophisticated techniques, including PowerShell and AutoIT scripts, to load shellcode into memory and connect to C2 servers. CastleLoader's modular design allows deployment of multiple payloads, including StealC, RedLine, NetSupport RAT, DeerStealer, HijackLoader, and SectopRAT. Its campaigns target U.S.government entities and use legitimate file-sharing services and compromised websites for payload retrieval, enhancing resilience against takedowns.
A sophisticated spear phishing campaign has been identified, distributing the VIP keylogger through email attachments. The malware is delivered via a ZIP file containing a malicious executable disguised as a PDF. Once executed, an AutoIt script drops two encrypted files, which are then decrypted and injected into RegSvcs.exe using process hollowing techniques. The VIP keylogger is designed to steal sensitive information by logging keystrokes, capturing credentials from popular web browsers, and monitoring clipboard activity. The campaign employs obfuscation techniques and maintains persistence through a VBS script in the Startup folder. The final payload exfiltrates data through SMTP and communicates with a command and control server.
This article discusses the rising threat of ClickFix, a social engineering technique used by threat actors to trick victims into executing malicious commands under the guise of quick fixes for computer issues. The technique has been observed in campaigns distributing various malware, including NetSupport RAT, Latrodectus, and Lumma Stealer. ClickFix lures often use clipboard hijacking and can bypass standard detection controls. The article provides case studies of recent campaigns, hunting tips for detecting ClickFix infections, and recommendations for proactive defense measures. It emphasizes the importance of user education and implementing robust security controls to mitigate this evolving threat.
