securitylab_nJuly 17, 2026🇷🇺Translated from Russian

TELEPUZ Malware Spreads via ClickFix Social Engineering, Targets Windows with Modular Capabilities and Resilient C2 Infrastructure

Since the end of April 2026, compromised websites have been distributing a new modular malware called TELEPUZ through the ClickFix social-engineering technique. Attackers replace the usual browser-error remediation steps with instructions that prompt the victim to copy a command to the clipboard and manually paste and execute it in a Windows Run dialog or PowerShell window.

The delivered PowerShell command first fetches an intermediate loader, which in turn installs a variant of the Vidar infostealer before launching the main TELEPUZ payload through the legitimate Windows utility rundll32.exe.

Before performing any malicious actions, TELEPUZ inspects the target system’s hardware characteristics, operating-system language, username, and indicators of virtualization or debugging tools. If it detects a sandbox or analysis environment, the malware terminates itself to avoid detection.

After passing these checks, TELEPUZ disables selected Windows security mechanisms, attempts to obtain administrator and SYSTEM privileges, and establishes persistence by registering itself as a service hosted inside the legitimate svchost.exe process.

Communication with the attacker’s command-and-control server is performed over WebSocket. When the primary server becomes unavailable, the malware can locate backup addresses through several independent channels: encrypted links hidden in Telegram and Steam profiles, specially crafted DNS records, and data stored inside a Polygon blockchain smart contract. This multi-layered fallback design helps maintain control over infected devices even after the main infrastructure is taken down.

TELEPUZ provides a broad set of post-exploitation features, including the ability to browse and modify files, capture keystrokes, execute arbitrary commands, manage running processes, take screenshots, and download additional modules. A dedicated component extracts cookies from Chromium-based browsers and can inject arbitrary JavaScript into both Chromium and Firefox by abusing remote-debugging interfaces.

Elastic researchers assess that TELEPUZ is likely distributed under a malware-as-a-service model. Although the number of active command-and-control domains remains relatively small, the frequent release of daily builds and rapid updates indicates ongoing, active development. The observed C2 servers have been hosted on compromised websites located in Brazil and India.

Related articles

HabrMalware & Botnets

Automating Malware Reverse Engineering with Local LLMs, PyGhidra and Neo4j Graphs

A researcher has developed an automated pipeline that uses local large language models to analyze decompiled malware code extracted via PyGhidra. The system loads functions, call graphs, strings and imports into a Neo4j graph database to preserve context across hundreds of functions. Each function is sent to a local Qwen3 model running in LM Studio together with its neighboring call-graph context, producing structured JSON output on purpose, IOCs, tags and evasion techniques. Aggregated capabilities and behavioral patterns such as file encryption and C2 communication are then derived through graph queries. Testing on a WannaCry sample from MalwareBazaar processed 195 functions in 126 minutes and correctly identified File Encryption, C2 Communication and Anti-Analysis behaviors with 100 percent confidence. The approach keeps all sensitive indicators inside a local environment and avoids context overflow and censorship issues common with cloud-based models.

HabrMalware & Botnets

GitHub Removes 10,000 Malware Repositories After Public Exposure but Takes No Further Action

An investigation reveals that GitHub hosts thousands of repositories distributing trojanized ZIP archives, many of which have persisted for two years despite the platform's resources. The malicious repositories follow consistent patterns in README files, including specific headings and links to versioned archives hosted on githubusercontent.com. A detailed article and accompanying script published on Hacker News identified over 10,000 such repositories, prompting GitHub to delete only those specific entries. New repositories matching the same patterns continue to appear and remain active, with no additional proactive measures taken by the security team. The situation highlights questions about Microsoft's approach to automated detection and response on its subsidiary platform.

HispasecMalware & Botnets

Dolphin X Malware Adds AI Profiler to Rank and Prioritize High-Value Victims After Infection

Dolphin X is a newly identified Windows infostealer and remote access trojan that integrates an AI Profiler component designed to score infected machines and generate priority rankings for operators. The profiler analyzes telemetry from compromised systems, including application usage, browser domains visited, and installed software, to produce daily summaries that help attackers focus resources on the most valuable targets such as those with cloud access or sensitive tools. Dolphin X claims compatibility with over 300 applications, explicitly covering nine Chromium and Gecko browser families, more than 100 cryptocurrency wallet extensions, 65 desktop wallets, 10 password managers, and over 30 common cloud CLI tools. The malware targets files like .env configurations, SSH keys, cloud access tokens, browser sessions, and cryptocurrency wallet data to accelerate movement from initial credential theft to further compromises in accounts and production environments. Researchers have confirmed the AI Profiler workflow and associated scoring functions in the operator panel, although the underlying AI model itself remains unverified without full analysis of an active sample. The discovery highlights how automated prioritization can significantly shorten the time between mass infections and targeted follow-on attacks, prompting recommendations for reduced local credential storage and enhanced behavioral detection.

HabrMalware & Botnets

YARA Style Guide: Comprehensive Best Practices for Naming, Structuring and Maintaining Detection Rules

The article presents a detailed translation and adaptation of Florian Roth's YARA Style Guide, aimed at bringing consistency to large collections of YARA rules used by security teams. It explains how to construct informative rule names that include threat category, context, operating system, architecture, technology, packers and creation date, using prefixes such as MAL, HKTL, WEBSHELL, EXPL, VULN, SUSP and PUA. The guide recommends specific metadata fields including description, author, date, reference, score and hash, along with a three-tier string categorization system using $x*, $s* and $a* prefixes for high-specificity, group and preliminary strings. It also covers false-positive filters marked with $fp*, proper indentation, readable hex and string formatting, and a recommended order of conditions that begins with header checks and ends with false-positive filters. The publication highlights the benefits of this structured approach for long-term maintainability and faster triage during mass detections. Additional references point to the separate YARA-Performance-Guidelines project for deeper optimization techniques.