Liuliangbao

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 the MITRE ATT&CK framework:

Generated Detections (Boilerplate)

These YARA and Sigma rules are auto-generated based on the family name and aliases. They must be heavily tuned before deployment in a production environment.

YARA Rule

rule MALWARE_WIN_LIULIANGBAO {
    meta:
        description = "Detects Liuliangbao (advanced_threat)"
        author = "SystemHelpdesk Boilerplate Generator"
        date = "2026-07-06"
    strings:
        $s1 = "liuliangbao" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Sigma Rule

title: Suspicious Liuliangbao Activity
id: 205ee89c414a43c0752b6dd08868f0c9
status: experimental
description: Detects generic indicators of the liuliangbao malware family.
logsource:
    category: process_creation
    product: windows
detection:
    selection:
        Image|endswith:
            - '\cmd.exe'
            - '\powershell.exe'
        CommandLine|contains:
            - "*liuliangbao*"
    condition: selection
level: medium

Containment & Response Steps

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

1. Isolate the machine from the network immediately to halt the fraudulent click generation and conserve bandwidth.
2. Use a robust anti-malware scanner to identify and remove the hidden Liuliangbao service and associated executables.
3. Review DNS and proxy logs to identify the botnet's C2 servers and block them enterprise-wide.
4. 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.

1. 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.
2. 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)

Frequently Asked Questions

Related Families (Category: advanced_threat)

Explore other malware families in the same category:

• Fleercivet
• Qqware
• Tinypos
• Mods
• Directdownloader

Machine-readable

Get this profile as JSON: https://jordan123234-malware-families-explorer.static.hf.space/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.