An undocumented remote-access Trojan named Kothamine Agent has been discovered with support for over 30 commands, enabling attackers to control infected Windows systems through command execution, file manipulation, and capability extension. Some variants include browser data theft and camera/microphone recording functionality. The malware has been distributed through malicious npm packages and utilizes tailcat, an open-source Tailscale tool, to establish encrypted command-and-control communications that evade conventional network inspection and blocking. Earlier versions employed Tailscale VPN before transitioning to tailcat. Active since July based on VirusTotal and GitHub evidence, Kothamine features a plugin system for loading additional DLLs, UAC bypass capabilities in certain builds, and employs AES-GCM encryption for C2 communications. The malware achieves persistence through scheduled tasks and adds Windows Defender exclusions during installation.
Between July and August 2026, a phishing campaign targeted organizations primarily in Japan and other East and Southeast Asian countries. Attackers sent phishing emails in Japanese and Korean, impersonating product damage complaints to trick victims into visiting fake document-sharing sites. These sites delivered ZIP files containing malware executables with double extensions and DLLs using advanced loader techniques. The final malware payloads belonged to the PureRAT and PureLogs families. The campaign employed frequent changes in loader structures and multiple evasion methods to avoid detection. Infrastructure analysis revealed consistent patterns and identifiers across campaigns.
A sophisticated macOS malware campaign leverages ClickFix social engineering to infect victims. The attack begins with a fake CAPTCHA prompt delivered via email links, tricking users into executing malicious commands in Terminal. This downloads a profiling script that collects system information and deploys architecture-specific Go-based Mach-O payloads. The stealer targets browser passwords, Apple Keychain credentials, and cryptocurrency wallets. Its most notable feature is a DRAIN function that gradually siphons cryptocurrency from victims' wallets by redirecting portions to attacker-controlled accounts. The malware supports Bitcoin, Litecoin, Dogecoin, Monero, Ethereum, and XRP. Infrastructure analysis reveals hosting through Aeza Group, a sanctioned Russian bulletproof hosting provider. The malware achieves persistence through macOS Background Task Management and uses various evasion techniques including Gatekeeper bypass and credential harvesting via fake system prompts.
The article exposes a sophisticated scam targeting Minecraft players through fake 'grief-free' server communities. The SugarSMP website, promising a safe gaming experience, was found to distribute malware-infected mod packs. The malware, named Spark stealer, steals sensitive data including Discord tokens, browser credentials, and crypto wallet information. The threat actors employ social engineering tactics to maintain their fake community's reputation and remove warnings about their activities. Multiple similar websites were discovered, all hosting various types of malware. The scam's persistence mechanisms and social engineering techniques are detailed, along with remediation steps for affected users.
A new campaign exploits OpenClaw skills to distribute the Atomic MacOS Stealer (AMOS). This evolution in supply chain attacks manipulates AI agentic workflows to install malware. The campaign spans multiple repositories with hundreds of malicious skills uploaded to ClawHub and SkillsMP. The infection chain begins with a seemingly harmless SKILL.md file that installs a prerequisite, leading to the download of a Mach-O universal binary. This AMOS variant steals extensive data, including credentials, browser data, cryptocurrency wallets, and various user documents. It lacks system persistence but expands its reach by exfiltrating Apple and KeePass keychains. The malware uses sophisticated encryption schemes and targets multiple browsers and cryptocurrency wallets.
A widespread campaign is distributing the RenEngine loader malware disguised as pirated games and software. The loader uses a modified Ren'Py game engine to deliver payloads like Lumma and ACR stealers. It employs sophisticated techniques including sandbox evasion, process injection, and modular design. The infection chain involves decrypting and launching malicious code through legitimate applications. RenEngine has affected users globally, with Russia, Brazil, Turkey, Spain and Germany most impacted. The campaign highlights risks of pirated software and the need for robust security measures.
A sophisticated malware campaign exploits user trust in AI platforms to deliver the AMOS stealer. Attackers use SEO poisoning to surface malicious ChatGPT and Grok conversations offering 'helpful' macOS disk cleanup advice. These conversations contain Terminal commands that, when executed, deploy AMOS, a multi-stage malware that harvests credentials, escalates privileges, and establishes persistence. The attack bypasses traditional security measures by leveraging legitimate platforms and user behavior, making it particularly insidious. AMOS targets cryptocurrency wallets, browser data, and system information, exfiltrating sensitive data to attacker-controlled servers. This campaign represents a significant evolution in social engineering techniques, exploiting the growing reliance on AI assistants for technical guidance.
A sophisticated campaign targeting macOS developers has been uncovered, utilizing fake websites impersonating trusted platforms like Homebrew, TradingView, and LogMeIn to distribute Odyssey Stealer and AMOS malware. The attackers employ social engineering tactics, prompting users to paste base64-encoded commands in Terminal, which downloads malicious payloads. Over 85 phishing domains were identified, linked through shared SSL certificates and infrastructure. The campaign's infrastructure includes long-standing IP addresses showing multi-year activity. The malware attempts privilege escalation, performs anti-analysis checks, and disrupts backup services. This coordinated operation demonstrates the attackers' ability to adapt tactics and maintain persistence in the macOS ecosystem.
TA585 is a sophisticated cybercriminal threat actor that operates its entire attack chain, from infrastructure to email delivery and malware installation. The actor demonstrates innovation in the evolving cybercrime landscape, using unique web injection campaigns and complex filtering techniques. TA585 frequently delivers MonsterV2, a versatile malware with remote access trojan, loader, and stealer capabilities. MonsterV2 is used by multiple threat actors and avoids infecting computers in Commonwealth of Independent States countries. The malware is actively maintained and updated, with pricing ranging from $800 to $2,000 per month. TA585's campaigns often involve compromised websites, fake CAPTCHAs, and GitHub-themed attacks to deliver various payloads.
Rhadamanthys, a complex multi-modular stealer, has released version 0.9.2 with significant updates. The malware now uses PNG files to deliver payloads, implements new evasion techniques, and introduces changes to its custom executable formats. Key modifications include a new message box mimicking Lumma stealer, updates to string encryption, and enhanced configurability. The malware continues to evolve, focusing on refinements and customization options while maintaining its core design. These changes aim to disrupt analysis tools and detection methods. The authors are professionalizing their operation, treating Rhadamanthys as a long-term business venture with tiered pricing and expanded product offerings.
Olymp Loader is a recently emerged Malware-as-a-Service offering advertised on underground forums since June 2025. Developed by a team called OLYMPO, it's written in assembly language and marketed as fully undetectable. The loader executes other malware on victim systems and provides built-in stealer modules for browsers, Telegram, and crypto wallets. It enables rapid feature updates and fast adoption by cybercriminals. The malware has evolved from an initial botnet concept to focus on loader and crypter functionalities. Distribution methods include disguising as legitimate software and using other malware like Amadey as initial access. Post-infection payloads primarily include credential stealers and remote access tools.
This analysis examines a campaign distributing Atomic macOS Stealer (AMOS), targeting macOS users through fake 'cracked' applications. Attackers use two main delivery methods: malicious .dmg installers and terminal commands that bypass Gatekeeper protection. AMOS employs rotating domains to evade detection and steals a wide range of sensitive data, including credentials, browser information, cryptocurrency wallets, and system files. The campaign demonstrates sophisticated tactics, adapting to macOS security improvements and leveraging social engineering. The report emphasizes the importance of comprehensive endpoint detection, user education, and defense-in-depth strategies to combat such threats.
Inf0s3c Stealer is a sophisticated Python-based malware designed to collect system information and user data. It systematically gathers host identifiers, CPU information, network configuration, and captures screenshots. The malware enumerates running processes, generates directory views, and compiles stolen data into a password-protected archive for exfiltration. It employs various techniques for persistence, including injection into Discord and Windows Startup manipulation. The stealer targets sensitive information such as passwords, cookies, browsing history, and cryptocurrency wallets. It also implements anti-VM checks and can self-delete after execution. The analysis reveals similarities with other malware projects, suggesting potential for rapid iteration and wider distribution.
A sophisticated malware campaign called JSCEAL is targeting cryptocurrency users through fake apps impersonating popular trading platforms. The attackers use malicious ads to lure victims into downloading installers that deploy a multi-stage infection chain. This includes PowerShell scripts for profiling and a final payload of compiled JavaScript (JSC) files executed via Node.js. The JSCEAL malware steals crypto-related data and credentials while employing advanced evasion techniques. The campaign has potentially reached millions of users across multiple countries, primarily targeting the cryptocurrency and financial sectors.
An AMOS malware campaign has been discovered utilizing GitHub repositories to distribute malicious files. The attackers created a fake Ledger Live app that prompts users to enter their secret phrases, which are then exfiltrated. The malware uses obfuscation techniques, including base64 encoding and custom XOR operations. The campaign targets cryptocurrency users, specifically those using hardware wallets. The malware is distributed through DMG files and ZIP archives, containing both x64 and ARM64 versions of AMOS. The attackers use multiple domains for command and control, and the malware performs checks to detect virtual environments.
A detailed analysis of a sophisticated intrusion targeting a cryptocurrency foundation employee is presented. The attack, attributed to the North Korean APT group BlueNoroff, began with a social engineering lure via Telegram, leading to the installation of malicious software disguised as a Zoom extension. The intrusion involved multiple stages of malware deployment, including persistent implants, backdoors, keyloggers, and cryptocurrency stealers. The attackers utilized advanced techniques such as process injection on macOS and leveraged various tools to collect sensitive information, particularly focusing on cryptocurrency-related data. The analysis covers the initial access vector, technical details of the malware components, and their functionalities, providing insights into the evolving tactics of state-sponsored threat actors targeting macOS systems.
A malicious campaign targeting primarily Brazilian residents has been discovered, with attacks detected since early 2025. The attackers employed phishing emails, some sent from compromised company servers, to distribute malware. Two attack chains were identified: one using a malicious browser extension for Google Chrome, Microsoft Edge, and Brave, and another utilizing Mesh Agent or PDQ Connect Agent. The campaign aimed to steal authentication data from victims' bank accounts, particularly targeting Banco do Brasil customers. Over 700 downloads of the malicious extension were recorded, affecting users in Brazil, Colombia, Czech Republic, Mexico, Russia, Vietnam, and other countries. The attackers used sophisticated techniques, including virtualization checks, UAC bypass, and file deletion to evade detection.
This analysis examines cyber threats targeting government institutions worldwide, focusing on three case studies: a phishing email targeting the South Carolina Department of Employment and Workforce, a fraudulent domain mimicking the U.S. Social Security Administration, and a malicious PDF posing as a South African Judiciary notice. The study demonstrates how ANY.RUN's solutions, including Threat Intelligence Lookup, Interactive Sandbox, and YARA Search, can be utilized to detect, analyze, and mitigate these threats. Key findings include the use of FormBook stealer, remote access tools, and credential harvesting techniques. The analysis provides actionable insights for government cybersecurity teams to enhance their defensive strategies and response capabilities.
The article discusses updates to the OtterCookie malware utilized by the North Korea-linked attack group WaterPlum. The malware has evolved through four versions, with v3 and v4 being the focus. OtterCookie v3 introduced Windows support and enhanced file collection capabilities. Version 4 added new Stealer modules for credential theft, improved virtual environment detection, and modified clipboard stealing methods. The malware now targets various file types, including those related to cryptocurrencies, and has sophisticated methods for stealing browser credentials. The continuous updates to OtterCookie demonstrate WaterPlum's active development efforts, posing an ongoing threat to financial institutions and cryptocurrency operators worldwide.
The CopyRh(ight)adamantys campaign is a large-scale phishing operation distributing the latest Rhadamanthys stealer malware (version 0.7). It uses copyright infringement-themed bait emails impersonating companies mainly in the Entertainment/Media and Technology/Software sectors. The campaign employs automation and possibly AI tools to tailor and distribute lures globally. Rhadamanthys stealer targets sensitive information by leveraging various techniques including OCR-based text recognition and credential theft. Although the malware claims AI-powered capabilities, it primarily uses traditional machine learning OCR methods. The campaign is financially motivated, not linked to nation-state actors, and poses a medium severity threat. European organizations in targeted sectors face risks of data theft and credential compromise. Mitigation requires targeted phishing awareness, enhanced email filtering, endpoint detection, and credential hygiene. Countries with strong media and tech industries and high phishing exposure are most at risk.
