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Threats Tagged 'uac-bypass'

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Active filters (1):Tag: uac-bypass

Threats Tagged 'uac-bypass'

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A sophisticated malware campaign targeting WhatsApp users has been observed since February 2026. The attack chain begins with malicious Visual Basic Script files sent via WhatsApp messages, which, when executed, initiate a multi-stage infection process. The malware uses renamed Windows utilities, retrieves payloads from trusted cloud services, and installs malicious MSI packages. The campaign employs social engineering, stealth techniques, and cloud-based payload hosting to establish persistence and escalate privileges on victim systems. The attackers utilize legitimate tools and trusted platforms to reduce visibility and increase the likelihood of successful execution. The final stage involves the delivery of unsigned MSI installers that enable remote access to compromised systems.

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A malicious Visual Studio Code extension named 'prettier-vscode-plus' was discovered on the official VSCode Marketplace, impersonating the legitimate Prettier formatter. This extension served as the entry point for a multi-stage malware chain, starting with the Anivia loader, which decrypted and executed further payloads in memory. The final stage, OctoRAT, is a comprehensive remote access toolkit providing over 70 commands for surveillance, file theft, remote desktop control, persistence, privilege escalation, and harassment. The attack chain employs sophisticated techniques like AES encryption, process hollowing, and UAC bypass. The threat actor's GitHub repository showed active payload rotation to evade detection. This supply-chain attack highlights the evolving threats targeting developers and the abuse of trusted tools in their ecosystem.

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DeerStealer is a sophisticated information-stealing malware that targets a wide range of user and system data. It employs deception techniques, persistence mechanisms, and rootkit-like capabilities to evade detection and maintain stealth on compromised systems. The malware uses signed executables, legitimate DLLs, and multi-stage execution to perform its malicious activities. It establishes persistence through scheduled tasks and employs auto-elevated COM objects to bypass User Account Control. DeerStealer's adaptive design allows it to switch C2 servers and use obfuscated files for effective data exfiltration. The malware is actively sold and supported through dark-web forums and Telegram channels, posing a significant threat to both individuals and organizations.

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Katz Stealer is a sophisticated credential-stealing malware-as-a-service that targets multiple browsers, cryptocurrency wallets, and communication platforms. It employs advanced evasion techniques like geofencing, VM detection, and process hollowing. The infection chain involves obfuscated JavaScript, PowerShell scripts, and .NET payloads. Key features include browser credential theft, crypto wallet exfiltration, and Discord process hijacking. The malware also gathers system information, captures screenshots, and monitors clipboards. Detection opportunities include network traffic analysis, file system monitoring, and process behavior analysis. The analysis provides YARA and Sigma rules for detection, along with a comprehensive list of IOCs.

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