RemusStealer is a malware-as-a-service program exhibiting multiple similarities to LummaStealer, including anti-virtual machine checks, credential theft tactics, and Application-Bound Encryption bypass methods. A key distinction is RemusStealer's use of Ethereum smart contracts for C2 communications instead of Steam or Telegram dead drop resolvers. Written in Go, the stealer performs extensive system discovery, gathering information about antivirus products, hardware specifications, and operating systems. It employs hidden desktop environments to evade detection while launching Microsoft Edge and Brave browser processes on non-primary window stations to steal credential files. The malware establishes connections to suspicious domains ending in .shop or .biz and communicates with Ethereum-related infrastructure. This evolution demonstrates attackers' increasing sophistication in leveraging blockchain technology to masquerade malicious communications through smart contracts.
2CLoader is a newly identified malware loader active since August 2026 that delivers information stealers such as Vidar and Remus, as well as the XWorm RAT. It features advanced anti-analysis and evasion techniques, including anti-VM, anti-debug, indirect system calls via Hell's Gate, and inline trampoline hooks to bypass endpoint security. The loader protects its payloads with rolling XOR and AES-GCM encryption stored as PE resources and supports multiple execution methods. It communicates with command-and-control servers using encrypted JSON over HTTP POST and maintains persistence through registry keys, scheduled tasks, and startup folders.
Vidar is an information stealer first observed in 2018 that has continuously evolved its string obfuscation techniques to evade detection and analysis. Between May and September 2026, the malware progressed from basic XOR encryption to ChaCha20-based algorithms, and most recently implemented a custom virtual machine executed via a lightweight bytecode interpreter combined with custom stream ciphers that change per build. The VM uses 14 opcode handlers with simple primitives including XOR, addition, rotation, and substitution. Version 2.0 introduced this VM approach, while versions 2.2 and later added ARX-based custom stream ciphers using FNV-1a hashing and golden ratio constants. These per-build variations in opcodes, constants, and substitution tables significantly hinder static and automated analysis capabilities.
This analysis examines a sophisticated Vidar infostealer variant that employs a custom virtual machine to obfuscate its malicious code through proprietary bytecode interpretation. The malware implements extensive anti-analysis measures including debugger detection via NtQueryInformationProcess and RDTSC timing checks, sandbox evasion by identifying antivirus processes and checking system resources, and environment fingerprinting. Vidar targets credentials from web browsers including Chromium and Gecko-based extensions, Azure authentication tokens, FileZilla FTP credentials, and captures screenshots. It utilizes SeDebugPrivilege for elevated access, creates hidden desktops for browser automation, and exfiltrates stolen data through Telegram channels. The malware performs cleanup operations to remove execution artifacts and proxies DLL execution through rundll32.exe to blend with legitimate Windows processes.
An internal security operations team identified a fraudulent GitHub page impersonating a cybersecurity vendor to target customers and the general public. The malicious page appeared legitimate by referencing authentic services and operational requirements. While the GitHub page itself contained non-malicious content, a disguised link led victims to download a ZIP archive containing malicious executables. The attack chain deployed BoryptGrab Stealer information-stealing malware through DLL side-loading techniques. Investigation revealed nearly 300 similar repositories impersonating well-known organizations including Malwarebytes, Bitdefender, and 360 Total Security, using SEO keywords to attract victims. The malicious page has been removed and detection capabilities have been enhanced.
An intrusion was investigated that began with exploitation of CVE-2026-48558, a critical authentication bypass vulnerability in SimpleHelp RMM software. The threat actor obtained unauthorized technician access and deployed two previously undocumented malware samples: TaskWeaver and Djinn Stealer. TaskWeaver is a heavily obfuscated Node.js loader that establishes encrypted communications and delivers additional payloads. Djinn Stealer targets credentials across Windows, macOS, and Linux systems, collecting authentication data for cloud platforms, source control, package registries, AI development assistants, browsers, SSH keys, and cryptocurrency wallets. The attacker leveraged legitimate RMM capabilities to transfer files and execute commands across managed systems. Stolen AI assistant tokens provided extensive access to repositories, databases, and cloud accounts. The intrusion demonstrated how a single authentication bypass in trusted management infrastructure can enable widespread credential theft and p...
Community-maintained Laravel Lang packages were compromised with remote code execution backdoors affecting over 700 versions across multiple repositories including laravel-lang/lang, laravel-lang/http-statuses, laravel-lang/attributes, and laravel-lang/actions. The attack involved coordinated rapid tag publishing on May 22-23, 2026, suggesting organization-level credential compromise. A malicious helpers.php file was automatically executed via Composer's autoloader, deploying a sophisticated cross-platform information stealer. The second-stage payload systematically harvested credentials from cloud infrastructure, Kubernetes, CI/CD systems, browsers, password managers, cryptocurrency wallets, VPN clients, and local configurations. Stolen data was encrypted and exfiltrated to a command-and-control server. The backdoor employed advanced evasion techniques including TLS verification bypass, per-host execution markers, and embedded Windows executables to bypass Chrome encryption protections.
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...
A sophisticated 64-bit information-stealing malware named Remus has emerged as a direct evolution of the notorious Lumma Stealer. Following the doxxing of alleged Lumma core members between August and October 2025, developers created this advanced variant, with test builds appearing in September 2025 and live campaigns starting February 2026. Remus employs innovative techniques including injecting custom 51-byte shellcode into browser memory to extract protected master keys, bypassing Application-Bound Encryption in Chromium-based browsers. The malware utilizes EtherHiding through Ethereum smart contracts for command-and-control resolution, making infrastructure takedowns nearly impossible. It targets browser credentials, session cookies, and cryptocurrency wallets while implementing rigorous anti-analysis checks to evade security research environments.
A ClickFix-style phishing campaign leveraged social engineering to trick users into executing obfuscated PowerShell commands that downloaded and installed a malicious MSI payload from a remote server. The attack employed a sophisticated multi-stage infection chain utilizing DLL sideloading techniques with renamed legitimate binaries to execute malicious components. The final payload deployed HijackLoader to deliver a Lumma-style information stealer designed for credential harvesting and data exfiltration. The campaign utilized multiple command-and-control domains and infrastructure hosted on specific IP addresses. Mitigation measures include blocking identified artifacts, enhancing user awareness about ClickFix social engineering tactics, implementing endpoint detection for suspicious PowerShell activity and unsigned DLL sideloading, and isolating compromised systems for remediation.
A sophisticated five-stage malware operation delivers two new malware families: Direct-Sys Loader and CGrabber Stealer. The attack begins with ZIP archives distributed via GitHub user attachment URLs, exploiting a legitimate Microsoft-signed binary (Launcher_x64.exe) for DLL sideloading. Direct-Sys Loader employs ChaCha20 encryption, direct syscall execution, and multiple anti-analysis checks including text file verification, enumeration of 67 analysis tool processes, and hypervisor detection. CGrabber Stealer collects extensive system metadata, browser credentials, cryptocurrency wallets, password managers, VPN configurations, and application artifacts from over 150 applications and extensions. The stealer excludes CIS region systems and uses ChaCha20 encryption with HMAC SHA256 authentication for data exfiltration via custom HTTP headers. Both families share identical cryptographic implementations, suggesting common development origin and representing operationally mature infrastructure designed for larg...
This analysis examines a sophisticated attack chain targeting Windows systems through social engineering. It uses fake CAPTCHA verification pages to trick users into executing malicious PowerShell commands. The multi-stage infection process ultimately deploys the StealC information stealer, a commodity malware designed to harvest sensitive data. The attack chain includes PowerShell scripts, position-independent shellcode, and a PE downloader, utilizing techniques like reflective PE loading, API hashing, and process injection to evade detection. StealC's capabilities include stealing browser credentials, cryptocurrency wallets, Steam accounts, Outlook credentials, and system information. The malware uses encrypted C2 communication and operates without persistence, making it particularly stealthy.
Marco Stealer, discovered in June 2025, is an information stealer targeting browser data, cryptocurrency wallets, and sensitive files. It employs anti-analysis techniques, string encryption, and terminates security tools. The malware collects system information, exfiltrates browser data using embedded files, and extracts cryptocurrency wallet data from browser extensions. It also targets popular services and cloud storage. Marco Stealer uses AES-256 encryption for C2 communication over HTTP. Despite recent law enforcement actions against similar threats, information stealers continue to pose significant risks to corporate environments.
The Evelyn Stealer campaign targets software developers through weaponized Visual Studio Code extensions, employing a multistage delivery of information-stealing malware. The attack chain involves a downloader disguised as a legitimate Lightshot DLL, an injector that uses process hollowing to inject the final payload, and the Evelyn Stealer itself. The malware implements sophisticated anti-analysis techniques, collects sensitive information including browser credentials and cryptocurrency data, and exfiltrates the stolen data via FTP. This campaign highlights the increasing threat to developer communities and the need for enhanced security measures in development environments.
A large cybercrime campaign has been observed involving multiple fraudulent websites promoted through Google advertising. The campaign aims to trick users into downloading and installing a trojanized PDF editor containing the TamperedChef information-stealing malware. The malware harvests sensitive data, including credentials and web cookies. The campaign began on June 26, 2025, with the PDF editor initially appearing harmless but later activating malicious capabilities. The threat actor used Google advertising to promote the PDF editor, with at least 5 different campaign IDs observed. The malware's activation occurred 56 days after the campaign's start, coinciding with a typical Google ad campaign duration. The threat actor has a history of distributing malicious code disguised as free utility tools, and this campaign has successfully affected several European organizations.
A South Asian APT group has been consistently targeting Sri Lanka, Bangladesh, Pakistan, and Turkey. The operation involves phishing campaigns using military-themed lures to compromise phones of military personnel. The attackers employ various tactics, including PDF phishing documents, fake login pages for government and military organizations, and malicious Android apps. The Android malware, based on the Rafel Rat, steals information and provides remote access. Victims are primarily from South Asian countries, with stolen data including SMS messages, contact lists, and documents. The operation also uses Windows malware with the same command and control infrastructure.
A malware campaign utilizing malvertising has been distributing PS1Bot, a sophisticated multi-stage framework implemented in PowerShell and C#. PS1Bot features modular design, enabling information theft, keylogging, reconnaissance, and persistent system access. The malware minimizes artifacts and uses in-memory execution techniques for stealth. Active since early 2025, PS1Bot's information stealer targets cryptocurrency wallets and employs wordlists to identify files containing passwords and seed phrases. The campaign overlaps with previously reported Skitnet activities and uses similar C2 infrastructure. Delivery involves compressed archives with obfuscated scripts, leading to PowerShell modules for antivirus detection, screen capture, data theft, keylogging, and system information collection. Persistence is established through startup directory manipulation.
Lumma Stealer, an information-stealing malware, has resurfaced shortly after its takedown in May 2025. The cybercriminals behind it are now employing more covert tactics and expanding their reach. The malware is being distributed through discreet channels and uses stealthier evasion techniques. Lumma Stealer can steal sensitive data such as credentials and private files, and is marketed as a malware-as-a-service. Users are lured to download it through fake cracked software, deceptive websites, and social media posts. The malware's infrastructure has been diversified, with a shift towards using Russian-based cloud services. Recent campaigns include fake crack downloads, ClickFix campaigns using fake CAPTCHA pages, GitHub repository abuse, and social media promotions.
An ongoing social engineering campaign is targeting cryptocurrency users through fake startup companies impersonating AI, gaming, and Web3 firms. The scammers create elaborate facades using spoofed social media accounts and project documentation on platforms like Notion and GitHub. They contact victims offering to pay them to test software, which is actually malware designed to steal crypto wallet contents. The campaign uses both Windows and macOS malware, including information stealers like Atomic Stealer. The threat actors go to great lengths to appear legitimate, even creating fake conference photos and merchandise stores. Multiple fake company identities have been identified as part of this campaign.
Proofpoint has identified Amatera Stealer, a rebranded version of ACR Stealer with enhanced capabilities and evasion techniques. Distributed via ClearFake website injects, it utilizes sophisticated attack chains and web injects. Amatera Stealer employs NTSockets for stealthy C2 communication, WoW64 Syscalls to bypass user-mode hooking, and supports HTTPS requests. It focuses on stealing information from browsers, crypto wallets, and various software. The malware can also execute secondary payloads. Amatera Stealer is actively developed and sold as a malware-as-a-service, with subscription plans ranging from $199 to $1,499.
