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Introduction
The cybersecurity landscape has witnessed a sophisticated evolution in social engineering tactics, with threat actors moving beyond simple phishing emails to interactive, psychologically manipulative attack chains. The KongTuke campaign, active since mid-2025, exemplifies this shift through its “ClickFix” strategy—a technique that deceives users into manually executing malicious code under the guise of fixing fake browser errors or verification prompts. This campaign, recently observed on June 25, 2026, leverages compromised WordPress infrastructure to redirect victims to ClickFix lures that ultimately deliver the Havoc C2 framework, an open-source post-exploitation tool comparable to Cobalt Strike.
Learning Objectives
- Understand the complete KongTuke infection chain, from initial traffic redirection to Havoc C2 deployment
- Master detection and mitigation techniques for ClickFix social engineering attacks
- Learn to identify and block Havoc C2 framework indicators across network and endpoint layers
- Implement PowerShell and DNS monitoring strategies to detect fileless malware execution
- Develop incident response procedures specific to DLL sideloading and memory-resident threats
You Should Know
- The KongTuke Traffic Distribution System: How Compromised WordPress Sites Become Attack Vectors
KongTuke, also tracked as LandUpdate808 and TAG-124, operates as a malicious Traffic Distribution System (TDS). The infrastructure relies on compromising vulnerable WordPress sites—often those with exposed `xmlrpc.php` endpoints or outdated plugins—and injecting malicious JavaScript code. This injected code performs visitor fingerprinting, evaluating geolocation and user agent data to determine if the visitor is a worthwhile target before redirecting them to ClickFix landing pages.
Step-by-step guide to identifying KongTuke-compromised WordPress sites:
- Monitor for suspicious JavaScript injections in WordPress environments. Look for script tags with `data-cfasync=”false”` attributes that load external `file.js` resources.
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Audit WordPress plugin versions and ensure `xmlrpc.php` is disabled if not required for legitimate functionality.
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Implement Web Application Firewall (WAF) rules to block known KongTuke-related domains and IP addresses.
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Deploy file integrity monitoring (FIM) to detect unauthorized modifications to WordPress core files, themes, and plugins.
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Use URLScan or similar tools to analyze suspicious JavaScript behavior in isolated environments.
Linux command for detecting malicious JavaScript injections:
Recursively search WordPress directories for suspicious script tags grep -r "data-cfasync=\"false\"" /var/www/html/wp-content/ --include=".php" --include=".js" Search for external JavaScript loads from suspicious domains grep -r "src=\"http" /var/www/html/ --include=".php" --include=".js" | grep -v "wp-includes" | grep -v "wp-content/plugins" Monitor for unauthorized file changes in real-time inotifywait -m -r -e modify,create,delete /var/www/html/ --format '%w%f %e'
Windows PowerShell command for detecting malicious outbound connections:
Monitor for suspicious outbound connections from web servers
Get-1etTCPConnection -State Established | Where-Object {$<em>.LocalPort -eq 80 -or $</em>.LocalPort -eq 443} | Select-Object LocalAddress, LocalPort, RemoteAddress, RemotePort
Check for suspicious scheduled tasks that may indicate persistence
Get-ScheduledTask | Where-Object {$<em>.TaskPath -1otlike "Microsoft" -and $</em>.TaskPath -1otlike "Windows"}
- ClickFix Social Engineering: The Psychology Behind the Attack
ClickFix represents a paradigm shift in social engineering, leveraging user frustration and urgency to drive manual malware execution. The technique has gained 517% popularity since 2024. Variations include fake error codes, system alerts, CAPTCHA verifications, and even Blue Screen of Death (BSOD) warnings. The common thread is a sense of urgency combined with simple copy-and-paste instructions that victims believe are harmless troubleshooting steps.
How the ClickFix lure works:
When a user visits a compromised site, KongTuke’s JavaScript determines their value as a target and redirects them to a ClickFix page. The page displays a fake browser verification or CAPTCHA prompt, instructing the user to press Win+R, paste a command into the Run dialog, and press Enter. What the user doesn’t realize is that the copied text is not an error code but a malicious command—typically an `msiexec.exe` invocation or a PowerShell script that fetches and executes payloads.
Step-by-step guide to detecting and blocking ClickFix attacks:
- User education is paramount. Train employees to recognize fake CAPTCHA and error pages. Emphasize that legitimate IT support never asks users to copy-paste commands from web pages.
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Implement application whitelisting to restrict execution of
msiexec.exe,powershell.exe, and `cmd.exe` to authorized users and scenarios. -
Deploy endpoint detection and response (EDR) with behavioral rules to detect suspicious command-line arguments.
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Monitor for `conhost.exe –headless` execution, which attackers use to hide child process windows.
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Block newly registered domains (NRDs) and domains with low reputation scores at the network perimeter.
Windows Group Policy to restrict Run dialog usage:
Remove Run from Start Menu via Group Policy Navigate to: User Configuration > Administrative Templates > Start Menu and Taskbar Enable "Remove Run menu from Start Menu" Alternative: Disable the Run dialog via registry reg add "HKCU\Software\Microsoft\Windows\CurrentVersion\Policies\Explorer" /v NoRun /t REG_DWORD /d 1 /f
PowerShell script to detect suspicious msiexec executions:
Query Windows Event Log for suspicious msiexec executions with remote sources
Get-WinEvent -FilterHashtable @{LogName='Security'; ID=4688} | Where-Object {
$<em>.Properties[bash].Value -like "msiexec.exe" -and
$</em>.Properties[bash].Value -match "http" Command line contains URL
} | Select-Object TimeCreated, @{N='User';E={$<em>.Properties[bash].Value}}, @{N='CommandLine';E={$</em>.Properties[bash].Value}}
- The MSI Payload: SPSS WinWrap Basic IDE 27 Masquerade
The malicious MSI package delivered through the ClickFix lure masquerades as “SPSS WinWrap Basic IDE 27″—a legitimate IBM SPSS component. This disguise helps the payload bypass initial scrutiny and leverages trusted software distribution mechanisms.
Step-by-step guide to analyzing suspicious MSI packages:
1. Extract MSI contents without executing:
Linux: Use msiextract or 7z 7z x suspicious.msi -o./extracted/ Windows: Use msiexec with administrative install msiexec /a suspicious.msi /qb TARGETDIR=C:\Extracted
2. Inspect the MSI database for custom actions:
Linux: Use msidump msidump -f suspicious.msi Windows: Use Orca (Microsoft's MSI database editor) Orca.exe suspicious.msi Check the CustomAction table for suspicious entries
- Analyze embedded binaries and DLLs using tools like PEStudio, Detect It Easy, or sigcheck.
4. Check digital signatures of the MSI package:
Get-AuthenticodeSignature -FilePath suspicious.msi
- Submit to sandbox environments (e.g., Any.Run, Joe Sandbox, VirusTotal) for dynamic analysis.
Windows command to block unsigned MSI installations:
Configure Windows Installer to only allow signed packages Note: This requires Group Policy or registry configuration reg add "HKLM\Software\Policies\Microsoft\Windows\Installer" /v SafeForScripting /t REG_DWORD /d 0 /f reg add "HKLM\Software\Policies\Microsoft\Windows\Installer" /v DisableMSI /t REG_DWORD /d 2 /f
4. DLL Sideloading: Abusing Trusted Binaries
The KongTuke campaign employs DLL sideloading—a technique where a legitimate, signed executable (WinWrapIDE.exe) loads a malicious DLL through proxy loading. This allows the malware to execute under the guise of a trusted application, evading security controls that rely on signature verification.
How DLL sideloading works:
A legitimate executable searches for DLLs in specific paths. By placing a malicious DLL with the same name as a legitimate dependency in the executable’s directory, the attacker causes the trusted binary to load and execute the malicious code. In this campaign, the signed WinWrapIDE.exe binary loads malicious DLL components, enabling the Havoc C2 payload to execute without triggering alerts.
Step-by-step guide to detecting and mitigating DLL sideloading:
- Monitor for anomalous DLL loads from non-system directories:
Enable DLL load auditing via Group Policy Computer Configuration > Windows Settings > Security Settings > Advanced Audit Policy Configuration Audit Process Creation: Include command line Audit Detailed File Share: Monitor DLL loads Use Sysmon to log DLL loads Configuration: <DllLoad onmatch="exclude">...</DllLoad>
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Implement application control with DLL whitelisting (e.g., AppLocker, Windows Defender Application Control).
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Deploy EDR solutions that can detect DLL sideloading patterns based on process ancestry and load paths.
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Monitor for trusted binaries executing from unusual locations (e.g.,
%TEMP%,%APPDATA%, user directories). -
Use Process Monitor (ProcMon) to analyze DLL load behavior during incident response.
Sysmon configuration to log DLL loads:
<Sysmon schemaversion="4.22"> <EventFiltering> <RuleGroup name="DLL Monitoring" groupRelation="or"> <DllLoad onmatch="exclude"> <!-- Exclude known safe system DLLs --> <Image condition="end with">\Windows\System32\</Image> <Image condition="end with">\Windows\SysWOW64\</Image> </DllLoad> <DllLoad onmatch="include"> <Image condition="end with">\WinWrapIDE.exe</Image> </DllLoad> </RuleGroup> </EventFiltering> </Sysmon>
PowerShell script to detect suspicious DLL loads:
Query Windows Event Log for DLL load events (requires Sysmon)
Get-WinEvent -FilterHashtable @{LogName='Microsoft-Windows-Sysmon/Operational'; ID=7} |
Where-Object {
$<em>.Properties[bash].Value -like "WinWrapIDE.exe" -and
$</em>.Properties[bash].Value -1otlike "Windows" -and
$<em>.Properties[bash].Value -1otlike "System32"
} | Select-Object TimeCreated, @{N='Process';E={$</em>.Properties[bash].Value}}, @{N='DLL';E={$_.Properties[bash].Value}}
- Evasion Techniques: Sandbox Delays, Hidden Windows, and Obfuscation
The KongTuke payload employs multiple evasion techniques to bypass security analysis and detection. These include:
- Sandbox delay: The malware delays execution to evade sandbox environments that analyze behavior within a limited timeframe
- Hidden windows: Processes run with hidden windows to avoid user detection
- Obfuscation: Code is obfuscated to hinder static analysis
- Memory-offset techniques: The malware manipulates memory offsets to avoid signature-based detection
Step-by-step guide to detecting evasion techniques:
- Monitor for long-running processes with suspicious command lines that may indicate sandbox evasion:
Detect processes with long execution times and suspicious parent-child relationships Get-Process | Where-Object {$<em>.StartTime -lt (Get-Date).AddMinutes(-5)} | Select-Object Name, CPU, StartTime, @{N='Parent';E={(Get-Process -Id $</em>.Parent).ProcessName}} -
Monitor for processes with hidden windows (no visible GUI):
List processes without visible windows Get-Process | Where-Object {$<em>.MainWindowHandle -eq 0 -and $</em>.ProcessName -1otin @('svchost', 'services', 'lsass', 'winlogon')} -
Enable PowerShell script block logging to capture obfuscated commands:
Enable PowerShell logging via Group Policy or registry reg add "HKLM\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ScriptBlockLogging" /v EnableScriptBlockLogging /t REG_DWORD /d 1 /f Enable PowerShell module logging reg add "HKLM\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ModuleLogging" /v EnableModuleLogging /t REG_DWORD /d 1 /f
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Deploy YARA rules to detect obfuscated PowerShell and shellcode patterns.
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Use memory forensics tools (e.g., Volatility) to analyze memory-resident malware during incident response.
Linux command to detect suspicious process behavior:
Detect processes with no terminal and high CPU usage (potential malware)
ps aux | awk '$8=="Z" || $8=="T" || $3>50 {print $0}'
Monitor for processes that spawn hidden windows (X11)
xwininfo -root -tree | grep -v "Default" | grep -v "Desktop"
Detect processes with unusual parent-child relationships
ps -eo ppid,pid,comm | awk '$1=="1" && $3!="systemd" && $3!="init" {print $0}'
6. Memory Execution via EnumTimeFormatsEx Callback Abuse
The KongTuke campaign executes shellcode through `EnumTimeFormatsEx` callback abuse—a technique where the malware leverages legitimate Windows API functions to execute malicious code in memory. This fileless execution method leaves minimal forensic artifacts on disk.
How EnumTimeFormatsEx callback abuse works:
`EnumTimeFormatsEx` is a legitimate Windows API that enumerates time formats supported by a locale. The function accepts a callback pointer as an argument. Attackers replace the legitimate callback with malicious shellcode, causing the API to execute the attacker’s code when invoked.
Step-by-step guide to detecting API callback abuse:
- Monitor for anomalous API calls using API hooking or EDR solutions that track suspicious callback patterns.
-
Enable Windows Defender Application Guard or similar isolation technologies to contain memory-resident threats.
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Deploy memory scanning tools (e.g., Windows Defender’s AMSI) to detect malicious shellcode in memory:
Enable AMSI logging reg add "HKLM\SOFTWARE\Policies\Microsoft\Windows Defender\AMSI" /v EnableAMSI /t REG_DWORD /d 1 /f
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Monitor for process injection indicators using Sysmon event ID 8 (CreateRemoteThread) and 10 (ProcessAccess).
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Use process hollowing detection techniques to identify memory-resident malware.
PowerShell script to detect suspicious API callback patterns:
Monitor for EnumTimeFormatsEx calls via ETW (requires elevated privileges)
This is a simplified example - full detection requires ETW provider configuration
$providers = @(
@{Name="Microsoft-Windows-Kernel-Process"; Id="22fb12e5-6896-4f22-b3d9-4b4e7c6b8b2e"},
@{Name="Microsoft-Windows-Kernel-Memory"; Id="d1d93ef7-9b7b-4a1c-9e7b-3a5a8f7e6d4c"}
)
Use logman to start ETW trace for process and memory events
logman create trace "ProcessMemoryTrace" -p "Microsoft-Windows-Kernel-Process" 0x10 0xFF -p "Microsoft-Windows-Kernel-Memory" 0x10 0xFF -o C:\Traces\ProcessMemory.etl
logman start "ProcessMemoryTrace"
Run for 10 minutes then stop
Start-Sleep -Seconds 600
logman stop "ProcessMemoryTrace"
Analyze the trace using Windows Performance Analyzer or custom parser
7. PowerShell Staging and Havoc C2 Deployment
The final stage of the KongTuke infection chain involves a cloaked PowerShell process that receives the malicious script through redirected stdin, leading to Havoc C2 communication and post-exploitation access.
Havoc C2 is an open-source command-and-control framework written in Golang, C++, and Qt, designed to be highly malleable and modular. Its implants, known as “demons,” communicate over HTTP(S) and SMB protocols. Havoc supports payload generation including EXE binaries, DLL files, and shellcode. The framework employs sleep obfuscation, return address stack spoofing, and indirect syscalls to evade EDR solutions.
Step-by-step guide to detecting and blocking Havoc C2:
1. Monitor for PowerShell execution with redirected stdin:
Detect PowerShell processes with non-interactive stdin
Get-WinEvent -FilterHashtable @{LogName='Microsoft-Windows-PowerShell/Operational'; ID=4103} |
Where-Object {$<em>.Properties[bash].Value -like "-Command" -or $</em>.Properties[bash].Value -like "-EncodedCommand"}
- Block known Havoc C2 domains and IPs at the network perimeter. Monitor for connections to:
– Ports 443 and 80 with unusual user-agent strings
– `.node` file extensions in HTTP requests
– Domains with low reputation scores
- Deploy network detection rules for Havoc C2 traffic patterns:
Example Suricata rule for Havoc C2 detection alert http $HOME_NET any -> $EXTERNAL_NET any (msg:"HAVOC C2 Beacon Detected"; flow:to_server,established; http.user_agent; content:"Mozilla"; nocase; http.uri; content:".node"; classtype:trojan-activity; sid:2026001; rev:1;)
-
Monitor for SMB beaconing if Havoc uses SMB as a communication channel.
5. Implement endpoint detection for Havoc demon behaviors:
- Sleep obfuscation patterns
- Indirect syscall usage
- Process injection attempts
Snort rule for Havoc C2 detection:
Snort rule to detect Havoc C2 beaconing
alert tcp $HOME_NET any -> $EXTERNAL_NET any (msg:"HAVOC C2 Potential Beacon";
flow:to_server,established;
dsize:>100;
content:"|0d 0a|"; within:10;
pcre:"/^[A-Za-z0-9+\/]{50,}/R";
classtype:trojan-activity; sid:2026002; rev:1;)
Linux command to monitor for suspicious DNS TXT record lookups:
Monitor DNS queries for TXT records (KongTuke uses DNS TXT for staging) tcpdump -i any -1n port 53 -v | grep -i "TXT" Analyze DNS query logs for suspicious TXT lookups journalctl -u systemd-resolved -f | grep -i "TXT" Use dnstap or similar to log all DNS queries dnstap -u /var/run/dnstap.sock -w /var/log/dns/dnstap.log
What Undercode Say
- Social engineering remains the primary attack vector. The KongTuke campaign demonstrates that technical controls alone are insufficient. Organizations must invest in security awareness training that specifically addresses interactive social engineering techniques like ClickFix. The 517% increase in ClickFix usage since 2024 underscores the effectiveness of this approach.
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Fileless malware and living-off-the-land techniques are the new normal. The combination of DLL sideloading, memory execution via API callback abuse, and PowerShell staging represents a sophisticated evasion strategy that traditional signature-based defenses cannot detect. Organizations must shift toward behavioral detection and endpoint visibility.
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Open-source offensive tools are increasingly weaponized. Havoc C2’s open-source nature makes it accessible to a wide range of threat actors, from sophisticated APT groups to opportunistic cybercriminals. Defenders must track and understand these frameworks to build effective countermeasures.
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The KongTuke infrastructure is evolving rapidly. From compromised WordPress sites to DNS TXT record staging and Microsoft Teams phishing, KongTuke continuously adapts its TTPs. Threat intelligence sharing and proactive hunting are essential to keep pace with these changes.
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Detection requires a multi-layered approach. No single control can stop the KongTuke attack chain. Effective defense requires network monitoring (DNS, HTTP, SMB), endpoint detection (process execution, DLL loading, memory analysis), and user education working in concert.
Prediction
-
+1 KongTuke will likely expand its targeting to include cloud environments and SaaS platforms, using compromised API keys and OAuth tokens to achieve initial access without user interaction.
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-1 The use of Havoc C2 will increase significantly as more threat actors adopt open-source frameworks, leading to a proliferation of attacks that leverage its evasion capabilities.
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-1 ClickFix-style attacks will evolve to incorporate AI-generated lures that are more convincing and harder to distinguish from legitimate prompts, increasing the success rate of social engineering.
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+1 The security community will develop specialized detection rules and YARA signatures for Havoc C2 demons, improving defensive capabilities against this framework.
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-1 Organizations that fail to implement robust PowerShell logging, application whitelisting, and user education will remain vulnerable to KongTuke and similar campaigns.
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+1 DNS-based staging techniques will face increased scrutiny, leading to improved DNS security monitoring and the adoption of DNS-over-HTTPS (DoH) inspection capabilities.
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-1 The commoditization of traffic distribution systems like KongTuke will lower the barrier to entry for less sophisticated attackers, resulting in more frequent but less sophisticated attacks.
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+1 Incident response teams will develop specialized playbooks for memory-resident malware and DLL sideloading attacks, improving response times and reducing dwell time.
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-1 The interconnected nature of modern IT environments means that a single compromised endpoint can lead to widespread network compromise, as Havoc C2 enables lateral movement and post-exploitation activities.
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+1 Collaboration between security vendors and open-source communities will accelerate the development of defensive countermeasures against frameworks like Havoc C2, creating a more resilient security ecosystem overall.
▶️ Related Video (74% Match):
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Reported By: Flavioqueiroz Kongtuke – Hackers Feeds
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