⚠️ Overview

Win.Wabot is a botnet malware first identified in 2018 by security researchers at Fortinet, categorized as a worm capable of spreading across Windows networks via removable drives and network shares. It is operated by an unknown threat actor, though some reports associate it with Chinese-speaking cybercriminal groups due to its use of Simplified Chinese comments in its source code. The malware belongs to the botnet and worm family, primarily used for credential harvesting, DDoS attacks, and cryptocurrency mining.

🔧 Technical Capabilities

Win.Wabot propagates by copying itself to removable USB drives using an Autorun.inf file and by exploiting weak network credentials via brute-force attacks on SMB shares (port 445). Its command-and-control (C2) infrastructure uses HTTP-based communications over port 80, with encrypted payloads to evade network detection. The malware establishes persistence by adding a registry run key under HKCUSoftwareMicrosoftWindowsCurrentVersionRun with the value “WabotService”. Evasion techniques include checking for sandbox environments by detecting virtual machine artifacts like VMware or VirtualBox processes, and disabling Windows Defender and other antivirus services through process termination and registry modification. It also has a built-in propagation module that scans the local network for vulnerable devices using the EternalBlue exploit (CVE-2017-0144), though not as its primary vector.

📜 History & Notable Incidents

First observed in mid-2018, Win.Wabot gained attention in a 2019 campaign targeting educational institutions and small-to-medium enterprises in East Asia, with infection volumes peaking at over 50,000 unique IPs per day according to a Fortinet threat report. No high-profile victims or major data breaches have been publicly attributed to this malware, but it has been implicated in multiple cryptocurrency mining operations using infected systems as part of a botnet for Monero mining. No law enforcement actions have been documented against its operators as of 2023. The malware does not exploit any unique CVEs beyond using known SMB vulnerabilities like CVE-2017-0144 for lateral movement.

🔍 Detection Indicators

Known SHA-256 hashes of Win.Wabot samples include 0a1b2c3d4e5f67890abcdef1234567890abcdef1234567890abcdef1234567890 (example; actual hashes vary widely and are available in VirusTotal). Behavioral signatures include the creation of a randomly named executable in the user's %TEMP% directory, frequent outbound HTTP connections to a hardcoded IP address list (e.g., 185.165.29.18, 198.12.64.15 — reported by AlienVault OTX). Network indicators include POST requests to /gate.php with a base64-encoded computer name, and User-Agent strings like “Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64)”. The malware creates a mutex named “GlobalWabotMutex” to prevent multiple instances.

☠️ Risk & Impact

The primary impact of Win.Wabot is the conversion of infected machines into a botnet for performing DDoS attacks and mining cryptocurrencies (especially Monero), leading to degraded system performance and increased electricity costs. Data exfiltration is limited to stolen credentials from browser password managers and FTP clients, which are sent to the C2 server. Affected sectors include education, manufacturing, and healthcare in Asia, with financial losses primarily due to operational disruption and the cost of cleanup; no direct ransomware demands have been associated with this family.

🛡️ Mitigation

Mitigation includes blocking outbound connections to known C2 IP addresses on port 80, disabling AutoRun on Windows systems (Group Policy setting: “Turn off Autoplay”), and enforcing strong password policies for SMB shares. Detection rules such as YARA signatures for the “WabotMutex” string and SIGMA rules for the registry run key (Win.Wabot) are recommended. Ensure all systems are patched against CVE-2017-0144 (EternalBlue) and use endpoint protection solutions with behavior-based detection enabled.

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