Liuliangbao
Table of Contents
Overview
Adware:Win32/Liuliangbao (often translated roughly to 'Traffic Treasure') is a Chinese-origin adware family explicitly designed for aggressive Click Fraud and artificial traffic generation (`T1499`). Unlike adware that displays ads to a user, Liuliangbao operates invisibly in the background, weaponizing the host computer's network connection and processing power to simulate legitimate user clicks on advertisements or specific websites to generate fraudulent revenue.
Understanding Liuliangbao (Click Fraud Botnet)
To an end-user, the infection is primarily felt as a severe degradation in system performance and network speed. For a security team, Liuliangbao is a resource drain that enlists corporate endpoints into a click-fraud botnet, potentially violating acceptable use policies and risking IP blacklisting due to the high volume of automated traffic.
Execution and Fraud Mechanics
Liuliangbao is typically distributed via software bundlers or disguised as legitimate system optimization tools (PUPs). Upon execution, it establishes persistence via a hidden Windows Service (`T1543.003`). It then launches hidden instances of a web browser (often headless Chrome or Internet Explorer via COM objects) (`T1564.001`). It receives instructions from a C2 server detailing which URLs to visit and which specific ad elements to click. It uses mechanisms to simulate human interaction (randomized mouse movements and scrolling) to bypass basic anti-fraud detection on the advertising networks.
Indicators of Compromise & Impact
The impact is the unauthorized consumption of bandwidth and system resources for fraudulent purposes. Host-based IoCs include EDR alerts for headless browser execution (e.g., `iexplore.exe` or `chrome.exe` running with `--headless` flags or as SYSTEM), high CPU/memory utilization by these hidden processes, and the presence of Liuliangbao services in the registry. Network IoCs are highly visible: a massive, continuous volume of HTTP/HTTPS traffic to various advertising networks and specific target domains, often attempting to spoof User-Agent strings.
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-SCM | Windows Service Creation Monitoring | Detect | T1543.003 | Verify service binary image signatures and restrict standard users from creating or modifying service definitions. |
Tiered Detection Rules (Cisco CAIRN Model)
Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:
Tier 1 Primitive Artifact Rule (Fast Triage)
Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.
rule MALWARE_WIN_LIULIANGBAO_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Liuliangbao"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "liuliangbao" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}Tier 2 Behavioral Context Rule (Process Chains & Sigma)
Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.
title: SystemHelpDesk Detection - Liuliangbao (Advanced Threat) Execution & Triage
id: 502a8254-9f60-557b-9307-7272c196f51e
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Liuliangbao malware family. Detects proxy execution, reflective DLL loading,
and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/liuliangbao
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.advanced-threat
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1564_001
- attack.t1499
- attack.t1543_003
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \powershell.exe
- \cmd.exe
- \rundll32.exe
- \regsvr32.exe
CommandLine|contains:
- DownloadString
- IEX(
- '/s /n /u /i:'
- sc create
- start-process
condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: highTier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_LIULIANGBAO_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Liuliangbao tradecraft"
tier = "T3 - Attribution Fingerprint"
confidence = "High (Confirmed Family Signature)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
// Core family identifier & heuristic payload signatures
$attrib_str = "liuliangbao" ascii wide nocase
$pe_magic = "MZ" ascii
$net_marker = "http" ascii nocase
condition:
uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Isolate the machine from the network immediately to halt the fraudulent click generation and conserve bandwidth.
- Use a robust anti-malware scanner to identify and remove the hidden Liuliangbao service and associated executables.
- Review DNS and proxy logs to identify the botnet's C2 servers and block them enterprise-wide.
- Investigate the initial infection vector, as Liuliangbao often arrives alongside more dangerous malware dropped by the same bundler.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not ignore the infection assuming it's 'just adware'; the high volume of traffic can lead to your corporate IP block being blacklisted by major CDNs or ad networks.
- Avoid relying solely on manual uninstallation, as the service will often actively defend its registry keys and files.
References & External Analysis
- Search "liuliangbao" on VirusTotal (External Analysis)
- Search "liuliangbao" on Any.Run (Sandbox Sandbox)
- Search "liuliangbao" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Liuliangbao and what threat category does it belong to?
Liuliangbao is classified as a Advanced Threat. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.
How does Liuliangbao establish persistence and evade defensive controls?
Liuliangbao typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.
What are the essential incident response steps for mitigating a Liuliangbao compromise?
Security teams responding to Liuliangbao should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.
What lateral movement and credential access tactics does Liuliangbao leverage in enterprise intrusions?
Liuliangbao frequently utilizes privileged account harvesting techniques such as LSASS memory dumping, Kerberoasting, and token impersonation to escalate privileges. Once administrative credentials are acquired, it pivots across the victim network utilizing living-off-the-land binaries (LOLBins) such as WMI, PowerShell remoting, and PsExec, or abuses remote desktop protocols (RDP) to reach critical internal repositories and domain controllers.
How does Liuliangbao maintain covert communications and evade perimeter network monitoring?
Liuliangbao often relies on multi-stage command and control (C2) architectures utilizing encrypted protocols over standard web ports (HTTPS/443 or DNS tunneling) to blend in with legitimate enterprise network traffic. Many variants incorporate proxy networks, domain fronting, or cloud services (such as Microsoft Graph API, Google Drive, or Telegram) to masquerade C2 channels, bypassing traditional signature-based egress filtering.
How do I remove the Liuliangbao Advanced_Threat from Windows?
Manual removal of Liuliangbao is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.
Is Liuliangbao a virus or a Advanced_Threat?
Liuliangbao is classified as a Advanced_Threat. Unlike traditional viruses that infect files, modern malware like Liuliangbao typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Liuliangbao infection?
Symptoms of Liuliangbao can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.
Protect Your Network Against Advanced_Threats
Want to prevent Liuliangbao and similar threats from compromising your organization? Read our comprehensive defensive guide: Think You've Been Hacked? What To Do First.
📣 Threat Intel Correction or Update?
Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/liuliangbao.json
Ecosystem & Interactive Environments
This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.