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Home/Threats/Lucid Stealer Targets 18 Browsers, Crypto Wallets, Discord Tokens
Threats

Lucid Stealer Targets 18 Browsers, Crypto Wallets, Discord Tokens

Key Takeaways Lucid Stealer is a sophisticated Windows malware strain offering extensive data theft and remote access capabilities. The threat targets 18 browsers, numerous crypto wallets, and...

Sarah simpson
Sarah simpson
June 8, 2026 5 Min Read
51 0

Key Takeaways

  • Lucid Stealer is a sophisticated Windows malware strain offering extensive data theft and remote access capabilities.
  • The threat targets 18 browsers, numerous crypto wallets, and Discord tokens, operating as a commercial, subscription-based service.
  • Its evasion techniques include disguising itself within a legitimate Node.js runtime and plans to shift to Java.
  • Infections should be considered full system compromises, requiring immediate and comprehensive remediation.

A new Windows malware variant, dubbed Lucid Stealer, has emerged as a significant concern for cybersecurity experts, exhibiting an alarming breadth of capabilities and sophisticated evasion tactics. This threat, initially identified through clandestine Telegram channels, extends far beyond typical credential theft, enabling complete control over infected systems without user awareness.

Table Of Content

  • Key Takeaways
  • New Lucid Stealer Targets 18 Browsers, Crypto Wallets, and Discord Tokens
  • Infection Chain and Detection Guidance for Defenders
  • Indicators of Compromise (IoCs)
  • What You Should Do

What makes Lucid Stealer particularly insidious is its method of concealment. The entire malicious package is cleverly embedded within a legitimate Node.js runtime environment, allowing it to masquerade as a benign application, thereby bypassing many conventional security defenses while silently executing its harmful operations.

Researchers at Foresiet first detected and analyzed this iteration of Lucid Stealer. Their investigation was prompted by renewed activity on a dedicated Telegram channel promoting the tool as a paid, subscription-based product. Foresiet’s report, shared with Cyber Security News (CSN), highlights that this specific build is significantly more potent than standard credential stealers, integrating both extensive data exfiltration and live remote access functionalities.

The malware is marketed as a commercial service, featuring a dedicated web panel for management, license key distribution, and an active support channel. Operators briefly paused the project in late May 2026, only to relaunch it days later with announcements of a complete site rebuild and a strategic shift from Node.js to Java, aimed at enhancing evasion capabilities. This continuous development underscores the attackers’ commitment to evolving and expanding the threat.

Given its capabilities, any infection by Lucid Stealer must be treated as a full system compromise. User credentials, browser cookies, Discord session data, crypto wallet keys, and Roblox session information are all immediately vulnerable. Defenders are strongly advised to assume that all data stored on an infected machine has been compromised and to act swiftly.

New Lucid Stealer Targets 18 Browsers, Crypto Wallets, and Discord Tokens

Lucid Stealer is engineered to pilfer data from virtually every aspect of a user’s digital footprint. The analyzed build is designed to compromise 18 different web browsers, 21 cryptocurrency clipper formats, seven desktop wallets, seven browser-based wallet extensions, and four Discord client variations.

The malware specifically targets saved credentials, session cookies, autofill data, and browser history. It achieves this by utilizing a bundled SQLite tool to directly query copied browser databases.

Beyond browsers, Lucid Stealer injects itself into Discord clients to steal authentication tokens and modify the application to continuously exfiltrate stolen data. It also actively monitors clipboard activity, enabling it to silently replace any copied cryptocurrency wallet address with one controlled by the attacker. These combined features facilitate the simultaneous draining of financial accounts and compromise of communication platforms.

A distinguishing feature of this threat is its sophisticated remote access module, known as HVNC (Hidden Virtual Network Computing). This module grants operators visual control over an infected machine without displaying any visible windows to the victim. Coupled with a remote shell, a file manager, keylogging, and screenshot capabilities, attackers gain nearly identical access as if they were physically present at the compromised system.

Infection Chain and Detection Guidance for Defenders

The infection typically begins with the malware delivered inside a password-protected ZIP archive. Once executed, it initiates a multi-stage setup process, dropping helper files, establishing persistence within the Windows registry, and optionally attempting to gain elevated privileges. By the time the primary payload is decrypted and run, the attacker has already secured a stable foothold on the system.

Security teams should prioritize behavior-based detection strategies over reliance on file hashes, especially given the operators’ announced plans to redevelop the malware on a new platform. Key indicators of compromise include the presence of temporary self-copies in the Windows TEMP folder, often disguised as “winupd” files, suspicious HKCU Run registry entries named “WindowsUpdate,” and unexpected .node module files appearing in user profiles.

Network defenders should block all traffic to known command-and-control (C2) addresses and monitor for recurring POST requests to internal log and upload endpoints, which can serve as additional confirmation of an active infection.

Indicators of Compromise (IoCs)

Type Indicator Description
SHA-256 a380e66f381c9f88f4f221906f12b73e1f43517c8e5f6affcaca71fad3340d5f Outer WinZip-AES password-protected ZIP archive
SHA-256 101351cff5f971cd39bd6280be02a5e0e8f08d9874cae78b971e3a421a7050f6 Inner 100 MB Windows x64 Node.js SEA executable (primary payload)
SHA-256 8422c48d6301426a39bf9b3d7f11bdbee7708e8a4e58171f38a5b5e51a8a53b8 Embedded ~8.5 MB NODE_SEA_BLOB JavaScript loader
SHA-256 cad3f0dde70a5d37c996abee75f39aff8e7603862f071a8c85cb48ee5482750f Decrypted JavaScript stealer/RAT core payload
SHA-256 5e33fe030fb7c3bbe2bca1f70f21a406716961aefdfb1bc030d7c65b7db055e9 Bundled SQLite helper binary
SHA-256 fc52b15848191ad97213d49c7f3c21760e1cc9507d5fb0d77fa75b7620c0deac UAC/elevation native N-API addon
SHA-256 6fb83f431f43d7b13e411676cdaa98d8ce005ffd61eed9d1d117698476acfb44 HVNC hidden desktop control native module
SHA-256 18e61b06068a8dd71e19ed3b117e4b0800f6dfbf252f381961dbb15b44ecc481 RobotJS screen capture and synthetic input addon
SHA-256 f85e5b19198cc4800be76346bb2868abdd45acbb314968cf2fe41cb18b502bfa Canvas addon for screenshots and streaming
IP Address 45[.]138[.]16[.]107:3001 Primary C2 command-and-control endpoint (hard-coded in sample, AS210558)
IP Address 85[.]239[.]155[.]68 Resolving infrastructure for lucidstealer[.]one at analysis time
Domain lucidstealer[.]one User-supplied panel domain
Domain iloveyoulucid[.]space User-supplied panel domain; resolved in DNS at analysis time
Domain ghdfhfjhfg[.]webhop[.]me User-supplied panel domain; no DNS resolution at analysis time
Domain 0kt[.]one User-supplied panel domain; resolved in DNS at analysis time
Domain storedonutsmp[.]net User-supplied panel domain; resolved in DNS at analysis time
URI /upload Stolen-data archive upload endpoint
URI /internal/log Metadata and keylog telemetry endpoint
URI /dc-injector Discord injection payload retrieval endpoint
URI /ws WebSocket C2 communication path
File %TEMP%winupd_<random>.exe Hidden self-copy of the loader
File %TEMP%_sq3e_<pid>.exe Dropped SQLite helper binary
File %LOCALAPPDATA%Common<id>*.node Dropped native addons (UAC, HVNC, RobotJS, Canvas)
File %TEMP%Data_<hwid>.zip Staged exfiltration archive
File %TEMP%uac.log.txt Loader and elevation activity log
File %TEMP%lucid_err.log Loader error log
Registry Key HKCUSoftwareMicrosoftWindowsCurrentVersionRunWindowsUpdate Autorun persistence value pointing to loader self-copy
Crypto Address bc1qj0uraqhgquwcwdlhazy7ahzypz7r987z89dhwe BTC clipper replacement address (disabled in this build)
Crypto Address 0x239df70C0d328dEb4187A8B50a70ead8cbb1f48D ETH clipper replacement address (disabled in this build)
Crypto Address LYUQyhrqHS9VXzRkQWRHvVEtr5aCCSoVig LTC clipper replacement address (disabled in this build)
License Key LUCID-M8NJ-SLBQ-ROI2 Embedded license key found in sample configuration

What You Should Do

  • Implement Advanced Endpoint Detection and Response (EDR): Focus on EDR solutions capable of behavior-based detection to identify suspicious process activity, registry modifications, and file creations, rather than relying solely on signature-based antivirus.
  • Educate Users on Phishing and Social Engineering: Since the malware often arrives via password-protected ZIP archives, reinforce training on identifying and avoiding suspicious attachments and links, especially those promising software updates or urgent notifications.
  • Enforce Strong Password Policies and Multi-Factor Authentication (MFA): Even if credentials are stolen, MFA can significantly reduce the impact of account compromise across all critical services.
  • Monitor Network Traffic for C2 Communications: Actively watch for outbound connections to known C2 IP addresses (e.g., 45[.]138[.]16[.]107:3001) and specific URIs like /upload or /internal/log. Implement firewall rules to block these known malicious destinations.
  • Regularly Back Up Critical Data: Maintain offline, encrypted backups of all essential data to facilitate recovery in the event of a full system compromise.
  • Conduct Regular Security Audits and Penetration Tests: Proactively identify and remediate vulnerabilities that could be exploited by sophisticated malware like Lucid Stealer.
  • Isolate and Rebuild Infected Systems: Treat any confirmed infection as a complete compromise. Isolate the affected machine from the network immediately and perform a clean reinstallation of the operating system and applications.

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.

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Sarah simpson

Sarah simpson

Sarah is a cybersecurity journalist specializing in threat intelligence and malware analysis. With over 8 years of experience covering APT groups, zero-day exploits, and advanced persistent threats, Sarah brings deep technical expertise to breaking cybersecurity news. Previously, she worked as a security researcher at leading threat intelligence firms, where she analyzed malware samples and tracked cybercriminal operations. Sarah holds a Master's degree in Computer Science with a focus on cybersecurity and is a regular contributor to major security conferences.

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