Over 1,500 unique users
The threat actor group Silver Fox has been identified in a campaign distributing the ValleyRAT backdoor. The group employs a clever defense evasion technique, hiding the malware within a legitimate, digitally signed Chinese adware application called QN Wallpaper. By leveraging DLL sideloading, the attackers trick the operating system into loading their malicious payload under the guise of the trusted adware process. This method is particularly effective if users have already added the adware to their antivirus exclusion lists. The campaign has resulted in over 100,000 detections in 2026, primarily affecting users in China and India.
The campaign's success hinges on its abuse of a legitimate application. The QN Wallpaper tool, while functioning as adware, is signed with a valid digital certificate, lending it an air of legitimacy. The threat actors bundle a trojanized installer that contains both the legitimate adware executable and a malicious DLL.
The primary targets are users in China and India, with over 1,500 unique users affected. The end goal is to install ValleyRAT (also known as Winos 4.0), a full-featured remote access trojan that grants the attackers complete control over the infected system.
The attack chain is a classic example of DLL sideloading for defense evasion.
QnWallpaper.exe and a malicious DLL named libcef.dll into the same directory. This is a key step in T1574.002 - DLL Side-Loading. When QnWallpaper.exe is executed, the Windows loader prioritizes the libcef.dll in the local directory over the legitimate version in the system path. The signed process then loads and executes the malicious code from the DLL.HKLM\SOFTWARE\Policies\Microsoft\Windows Defender\DisableAntiSpyware. This is a direct application of T1562.001 - Disable or Modify Tools.T1547.001 - Registry Run Keys / Startup Folder.T1056.001), capture screenshots (T1113), and deploy additional modules, communicating with its C2 server.The use of a signed executable is a powerful evasion tactic. Security tools that rely on signature-based detection for the main executable will miss the threat, as the malicious activity is nested within a trusted process.
A successful ValleyRAT infection results in a total loss of confidentiality and integrity for the compromised system. The attackers gain the ability to steal sensitive personal and financial information, monitor user activity, and use the infected machine as a pivot point for further attacks or as part of a botnet. For the affected users, this can lead to identity theft, financial loss, and a complete compromise of their digital privacy.
libcef.dll (when present in the same directory as QnWallpaper.exe)HKLM\SOFTWARE\Policies\Microsoft\Windows Defender\DisableAntiSpyware set to 1Security teams can hunt for this activity using the following patterns:
QnWallpaper.exelibcef.dllHKLM\...\DisableAntiSpywareQnWallpaper.exe loading libcef.dll from its local directoryQnWallpaper.exe) loads a DLL (like libcef.dll) that is unsigned or has a low reputation score from its local application directory.DisableAntiSpyware should be treated as a high-fidelity indicator of malicious activity.libcef.dll, version.dll).libcef.dll from being loaded.Use application control to prevent the loading of untrusted DLLs, even by signed processes.
Mapped D3FEND Techniques:
Utilize EDR/AV with behavioral detection to identify malicious activities performed by the loaded DLL.
Mapped D3FEND Techniques:
Monitor and restrict permissions to critical registry keys, such as those that control security software configurations.
Mapped D3FEND Techniques:
To detect the DLL sideloading used by ValleyRAT, security teams must move beyond static signatures and analyze process behavior. Deploy an EDR solution capable of monitoring DLL load events and parent-child process relationships. Create a specific detection rule to flag when a known legitimate process, like QnWallpaper.exe, loads a DLL, such as libcef.dll, from a non-standard directory (i.e., the application's local folder instead of a system folder). The rule should also check if the loaded DLL is unsigned or has a different hash than the known-good version. This behavioral approach effectively identifies the core of the sideloading technique, regardless of the specific malware payload, and provides a high-fidelity alert for investigation.
A strong preventative measure against this type of attack is the enforcement of application control. Using a tool like Windows Defender Application Control (WDAC), administrators can create policies that define not only which executables are allowed to run, but also which DLLs they are allowed to load. A well-configured policy would only permit QnWallpaper.exe to load the legitimate, signed libcef.dll from its expected system path. When the trojanized installer drops the malicious libcef.dll into the application directory, the WDAC policy would block the signed executable from loading it, thus breaking the attack chain before the malware can execute. This is a powerful hardening technique that prevents the abuse of trusted processes.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
CyberNetSec.io uses automation to assist source monitoring, deduplication, observable extraction, and structured intelligence generation. Published analysis follows human-defined editorial standards and adds defensive context including MITRE ATT&CK, D3FEND, STIX, and Sigma where applicable. Read our editorial policy.
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Every tactic, technique, and sub-technique used in this threat has been identified and mapped to the MITRE ATT&CK framework for consistent, actionable threat language.
Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.
Detection rules, incident response steps, and D3FEND-aligned mitigation strategies are included so your team can act on this intelligence immediately.
Structured threat data is packaged as a STIX 2.1 bundle and can be visualized as an interactive graph — relationships between actors, malware, techniques, and indicators.
Sigma detection rules are derived from the threat techniques in this article and can be converted for deployment across any major SIEM or EDR platform.