Analyzing Dark Crystal RAT, a C# Backdoor
By Mandiant
Published: 2020-12-05 · Archived: 2026-04-05 21:48:08 UTC
Written by: Jacob Thompson
The FireEye Mandiant Threat Intelligence Team helps protect our customers by tracking cyber attackers and the malware
they use. The FLARE Team helps augment our threat intelligence by reverse engineering malware samples. Recently,
FLARE worked on a new C# variant of Dark Crystal RAT (DCRat) that the threat intel team passed to us. We reviewed open
source intelligence and prior work, performed sandbox testing, and reverse engineered the Dark Crystal RAT to review its
capabilities and communication protocol. Through publishing this blog post we aim to help defenders look for indicators of
compromise and other telltale signs of Dark Crystal RAT, and to assist fellow malware researchers new to .NET malware, or
who encounter future variants of this sample.
Discovering Dark Crystal RAT
The threat intel team provided FLARE with an EXE sample, believed to contain Dark Crystal RAT, and having the MD5
hash b478d340a787b85e086cc951d0696cb1. Using sandbox testing, we found that this sample produced two executables,
and in turn, one of those two executables produced three more. Figure 1 shows the relationships between the malicious
executables discovered via sandbox testing.
Figure 1: The first sample we began analyzing ultimately produced five executables
Armed with the sandbox results, our next step was to perform a triage analysis on each executable. We found that the
original sample and mnb.exe were droppers, that dal.exe was a clean-up utility to delete the dropped files, and that daaca.exe
and fsdffc.exe were variants of Plurox, a family with existing reporting. Then we moved to analyzing the final dropped
sample, which was dfsds.exe. We found brief public reporting by @James_inthe_box on the same sample, identifying it as
DCRat and as a RAT and credential stealer. We also found a public sandbox run that included the same sample. Other public
reporting described DCRat, but actually analyzed the daaca.exe Plurox component bundled along with DCRat in the initial
sample.
Satisfied that dfsds.exe was a RAT lacking detailed public reporting, we decided to perform a deeper analysis.
Analyzing Dark Crystal RAT
Initial Analysis
Shifting aside from our sandbox for a moment, we performed static analysis on dfsds.exe. We chose to begin static analysis
using CFF Explorer, a good tool for opening a PE file and breaking down its sections into a form that is easy to view.
Having viewed dfsds.exe in CFF Explorer, as shown in Figure 2, the utility showed us that it is a .NET executable. This
meant we could take a much different path to analyzing it than we would on a native C or C++ sample. Techniques we might
have otherwise used to start narrowing down a native sample’s functionality, such as looking at what DLLs it imports and
what functions from those DLLs that it uses, yielded no useful results for this .NET sample. As shown in Figure 3, dfsds.exe
imports only the function _CorExeMain from mscoree.dll. We could have opened dfsds.exe in IDA Pro, but IDA Pro is
usually not the most effective way of analyzing .NET samples; in fact, the free version of IDA Pro cannot handle .NET
Common Language Infrastructure (CLI) intermediate code.
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Figure 2: CFF Explorer shows that dfsds.exe is a .NET executable
Figure 3: The import table for dfsds.exe is not useful as it contains only one function
Instead of using a disassembler like IDA Pro on dfsds.exe, we used a .NET decompiler. Luckily for the reverse engineer,
decompilers operate at a higher level and often produce a close approximation of the original C# code. dnSpy is a great
.NET decompiler. dnSpy’s interface displays a hierarchy of the sample’s namespaces and classes in the Assembly Explorer
and shows code for the selected class on the right. Upon opening dfsds.exe, dnSpy told us that the sample’s original name at
link time was DCRatBuild.exe, and that its entry point is at {63E52738-38EE-4EC2-999E-1DC99F74E08C}.Main, shown
in Figure 4. When we browsed to the Main method using the Assembly Explorer, we found C#-like code representing that
method in Figure 5. Wherever dnSpy displays a call to another method in the code, it is possible to click on the target
method name to go to it and view its code. By right-clicking on an identifier in the code, and clicking Analyze in the context
menu, we caused dnSpy to look for all occurrences where the identifier is used, similar to using cross-references in IDA Pro.
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Figure 4: dnSpy can help us locate the sample's entry point
Figure 5: dnSpy decompiles the Main method into C#-like code
We went to the SchemaServerManager.Main method that is called from the entry point method, and observed that it makes
many calls to ExporterServerManager.InstantiateIndexer with different integer arguments, as shown in Figure 6. We
browsed to the ExporterServerManager.InstantiateIndexer method, and found that it is structured as a giant switch statement
with many goto statements and labels; Figure 7 shows an excerpt. This does not look like typical dnSpy output, as dnSpy
often reconstructs a close approximation of the original C# code, albeit with the loss of comments and local variable names.
This code structure, combined with the fact that the code refers to the CipherMode.CBC constant, led us to believe that
ExporterServerManager.InstantiateIndexer may be a decryption or deobfuscation routine. Therefore, dfsds.exe is likely
obfuscated. Luckily, .NET developers often use obfuscation tools that are somewhat reversible through automated means.
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Figure 6: SchemaServerManager.Main makes many calls to ExporterServerManager.InstantiateIndexer
Figure 7: ExporterServerManager.InstantiateIndexer looks like it may be a deobfuscation routine
Deobfuscation
De4dot is a .NET deobfuscator that knows how to undo many types of obfuscations. Running de4dot -d (for detect) on
dfsds.exe (Figure 8) informed us that .NET Reactor was used to obfuscate it.
> de4dot -d dfsds.exe
de4dot v3.1.41592.3405 Copyright (C) 2011-2015 de4dot@gmail.com
Latest version and source code: https://github.com/0xd4d/de4dot
Detected .NET Reactor (C:\...\dfsds.exe)
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Figure 8: dfsds.exe is obfuscated with .NET Reactor
After confirming that de4dot can deobfuscate dfsds.exe, we ran it again to deobfuscate the sample into the file
dfsds_deob.exe (Figure 9).
> de4dot -f dfsds.exe -o dfsds_deob.exe
de4dot v3.1.41592.3405 Copyright (C) 2011-2015 de4dot@gmail.com
Latest version and source code: https://github.com/0xd4d/de4dot
Detected .NET Reactor (C:\Users\user\Desktop\intelfirst\dfsds.exe)
Cleaning C:\Users\user\Desktop\intelfirst\dfsds.exe
Renaming all obfuscated symbols
Saving C:\Users\user\Desktop\intelfirst\dfsds_deob.exe
Figure 9: de4dot successfully deobfuscates dfsds.exe
After deobfuscating dfsds.exe, we ran dnSpy again on the resulting dfsds_deob.exe. When we decompiled
SchemaServerManager.Main again, the results were much different, as shown in Figure 10. Contrasting the new output with
the obfuscated version shown previously in Figure 6, we found the deobfuscated code much more readable. In the
deobfuscated version, all the calls to ExporterServerManager.InstantiateIndexer were removed; as suspected, it was
apparently a string decoding routine. In contrast, the class names shown in the Assembly Explorer did not change; the
obfuscator must have irrecoverably replaced the original class names with meaningless ones obtained from a standard list.
Next, we noted that ten lines in Figure 10 hold base64-encoded data. Once the sample was successfully deobfuscated, it was
time to move on to extracting its configuration and to follow the sample’s code path to its persistence capabilities and initial
beacon.
Figure 10: Deobfuscating dfsds.exe shows that the method begins with some path manipulation and then accesses Base64-
encoded data
Configuration, Persistence and Initial Beacon
Recall that in Figure 10 we found that the method SchemaServerManager.Main has a local variable containing Base64-
encoded data; decoding that data revealed what it contains. Figure 11 shows the decoded configuration (with C2 endpoint
URLs de-fanged):
> echo TUhvc3Q6aHR0cDovL2RvbWFsby5vbmxpbmUva3NlemJseGx2b3Uza2NtYnE4bDdoZjNmNGN5NXhnZW
80dWRsYTkxZHVldTNxYTU0LzQ2a3FianZ5a2x1bnAxejU2dHh6a2hlbjdnamNpM2N5eDhnZ2twdHgy
NWk3NG1vNm15cXB4OWtsdnYzL2FrY2lpMjM5bXl6b24weHdqbHhxbm4zYjM0dyxCSG9zdDpodHRwOi
8vZG9tYWxvLm9ubGluZS9rc2V6Ymx4bHZvdTNrY21icThsN2hmM2Y0Y3k1eGdlbzR1ZGxhOTFkdWV1
M3FhNTQvNDZrcWJqdnlrbHVucDF6NTZ0eHpraGVuN2dqY2kzY3l4OGdna3B0eDI1aTc0bW82bXlxcH
g5a2x2djMvYWtjaWkyMzlteXpvbjB4d2pseHFubjNiMzR3LE1YOkRDUl9NVVRFWC13TGNzOG8xTlZF
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VXRYeEo5bjl5ZixUQUc6VU5ERUY= | base64 -d
MHost:hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/
46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239myzon0xwjl
xqnn3b34w,BHost:hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91
dueu3qa54/46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239
myzon0xwjlxqnn3b34w,MX:DCR_MUTEX-wLcs8o1NVEUtXxJ9n9yf,TAG:UNDEF
Figure 11: Decoding the base64 data in SchemaServerManager.Main reveals a configuration string
Figure 11 shows that the data decoded to a configuration string containing four values: MHost, BHost, MX, and TAG. We
analyzed the code that parses this string and found that MHost and BHost were used as its main and backup command and
control (C2) endpoints. Observe that the MHost and BHost values in Figure 11 are identical, so this sample did not have a
backup C2 endpoint.
In dnSpy it is possible to give classes and methods meaningful names just as it is possible to name identifiers in IDA Pro.
For example, the method SchemaServerManager.StopCustomer picks the name of a random running process. By right-clicking the StopCustomer identifier and choosing Edit Method, it is possible to change the method name to
PickRandomProcessName, as shown in Figure 12.
Figure 12: Assigning meaningful names to methods makes it easier to keep analyzing the program
Continuing to analyze the SchemaServerManager.Main method revealed that the sample persists across reboots. The
persistence algorithm can be summarized as follows:
1. The malware picks the name of a random running process, and then copies itself to %APPDATA% and C:\. For
example, if svchost.exe is selected, then the malware copies itself to %APPDATA%\svchost.exe and C:\svchost.exe.
2. The malware creates a shortcut %APPDATA%\dotNET.lnk pointing to the copy of the malware under
%APPDATA%.
3. The malware creates a shortcut named dotNET.lnk in the logged-on user’s Startup folder pointing to
%APPDATA%\dotNET.lnk.
4. The malware creates a shortcut C:\Sysdll32.lnk pointing to the copy of the malware under C:\.
5. The malware creates a shortcut named Sysdll32.lnk in the logged-on user’s Startup folder pointing to
C:\Sysdll32.lnk.
6. The malware creates the registry value HKCU\Software\Microsoft\Windows\CurrentVersion\Run\scrss pointing to
%APPDATA%\dotNET.lnk.
7. The malware creates the registry value HKCU\Software\Microsoft\Windows\CurrentVersion\Run\Wininit pointing to
C:\Sysdll32.lnk.
After its persistence steps, the malware checks for multiple instances of the malware:
1. The malware sleeps for a random interval between 5 and 7 seconds.
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2. The malware takes the MD5 hash of the still-base64-encoded configuration string, and creates the mutex whose name
is the hexadecimal representation of that hash. For this sample, the malware creates the mutex
bc2dc004028c4f0303f5e49984983352. If this fails because another instance is running, the malware exits.
The malware then beacons, which also allows it to determine whether to use the main host (MHost) or backup host (BHost).
To do so, the malware constructs a beacon URL based on the MHost URL, makes a request to the beacon URL, and then
checks to see if the server responds with the HTTP response body “ok.” If the server does not send this response, then the
malware unconditionally uses the BHost; this code is shown in Figure 13. Note that since this sample has the same MHost
and BHost value (from Figure 11), the malware uses the same C2 endpoint regardless of whether the check succeeds or fails.
Figure 13: The malware makes an HTTP request based on the MHost URL to determine whether to use the MHost or BHost
The full algorithm to obtain the beacon URL is as follows:
1. Obtain the MHost URL, i.e., hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54
/46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239my
zon0xwjlxqnn3b34w.
2. Calculate the SHA1 hash of the full MHost URL, i.e., 56743785cf97084d3a49a8bf0956f2c744a4a3e0.
3. Remove the last path component from the MHost URL, and then append the SHA1 hash from above, and ?
data=active. The full beacon URL is therefore
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54
/46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/56743785cf
97084d3a49a8bf0956f2c744a4a3e0.php?data=active.
After beaconing the malware proceeds to send and receive messages with the configured C2.
Messages and Capabilities
After performing static analysis of dfsds.exe to determine how it selects the C2 endpoint and confirming the C2 endpoint
URL, we shifted to dynamic analysis in order to collect sample C2 traffic and make it easier to understand the code that
generates and accepts C2 messages. Luckily for our analysis, the malware continues to generate requests to the C2 endpoint
even if the server does not send a valid response. To listen for and intercept requests to the C2 endpoint (domalo[.]online)
without allowing the malware Internet access, we used FLARE’s FakeNet-NG tool. Figure 14 shows some of the C2
requests that the malware made being captured by FakeNet-NG.
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Figure 14: FakeNet-NG can capture the malware's HTTP requests to the C2 endpoint
By comparing the messages generated by the malware and captured in FakeNet-NG with the malware’s decompiled code,
we determined its message format and types. Observe that the last HTTP request visible in Figure 14 contains a list of
running processes. By tracing through the decompiled code, we found that the method
SchemaServerManager.ObserverWatcher.NewMerchant generated this message. We renamed this method to taskThread and
assigned meaningful names to the other methods it calls; the resulting code for this method appears in Figure 15.
Figure 15: The method that generates the list of running processes and sends it to the C2 endpoint
By analyzing the code further, we identified the components of the URLs that the malware used to send data to the C2
endpoint, and how they are constructed.
Beacons
The first type of URL is a beacon, sent only once when the malware starts up. For this sample, the beacon URL was always
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqbjvyklunp1z56txzk
hen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/.php?data=active, where is the SHA1 hash of the MHost URL, as described
earlier.
GET requests, format 1
When the malware needs to send data to or receive data from the C2, it sends a message. The first type of message, which
we denote as “format 1,” is a GET request to URLs of the form
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqb
jvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239myzon0xwjlxqnn
3b34w/.php? type=__ds_setdata&__ds_setdata_user=&__ds_setdata_ext=&__ds_setdata_data=, where:
is MD5(SHA1(MHost)), which for this sample, is 212bad81b4208a2b412dfca05f1d9fa7.
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is a unique identifier for the machine on which the malware is running. It is always calculated as SHA1(OS_version
+ machine_name + user_name) as provided by the .NET System.Environment class.
identifies what kind of message the malware is sending to the C2 endpoint. The is calculated as MD5( + ), where is a
short keyword identifying the type of message, and is as calculated above.
Values for exist for each command that the malware supports; for possible values, see the “msgs” variable in
the code sample shown in Figure 19.
Observe that this makes it difficult to observe the message type visually from log traffic, or to write a static
network signature for the message type, since it varies for every machine due to the inclusion of the .
One type of message uses the value u instead of a hash for .
is the message data, which is not obscured in any way.
The other type of ordinary message is a getdata message. These are GET requests to URLs of the form
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqb
jvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239myzon0xwjlxqnn
3b34w/.php? type=__ds_getdata&__ds_getdata_user=&__ds_getdata_ext=&__ds_getdata_key=, where:
and are calculated as described above for getdata messages.
is also calculated as described above for getdata messages, but describes the type of message the malware is
expecting to receive in the server’s response.
is MD5().
The server is expected to respond to a getdata message with an appropriate response for the type of message specified by .
GET requests, format 2
A few types of messages from the malware to the C2 use a different format, which we denote as “format 2.” These messages
are GET requests of the form hxxp://domalo[.]online
/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqbjvyklunp1z56txzkhen7gj
ci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239myzon0xwjlxqnn3b34w/.<mes< span=""></mes<>
sage_hash>, where:
is calculated as described above for getdata messages.
is also calculated as described above for getdata messages, but describes the type of message the malware is
expecting to receive in the server’s response. may also be the string comm.
Table 1 shows possible that may be incorporated into as part of format 2 messages to instruct the server which type of
response is desired. In contrast to format 1 messages, format 2 messages are only used for a handful of values.
  Response desired
s_comm The server sends a non-empty response if a screenshot request is pending
m_comm The server sends a non-empty response if a microphone request is pending
RDK The server responds directly with keystrokes to replay
comm The server responds directly with other types of tasking
Table 1: Message types when the malware uses a special message to request tasking from the server
POST requests
When the malware needs to upload large files, it makes a POST request. These POST requests are sent to
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqb
jvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6myqpx9klvv3/akcii239myzon0xwjlxqnn
3b34w/.php, with the following parameters in the POST data:
name is + "." + , where is calculated as described above and is the type of data being uploaded.
upload is a file with the data being sent to the server.
Table 2 shows possible values along with the type of file being uploaded.
  Type of File
jpg Screenshot
zipstealerlog Cookie stealer log
wav Microphone recording
file Uploaded file
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bmp Webcam image
Table 2: Message types when files are uploaded to the server
Capabilities
By analyzing the code that handles the responses to the comm message (format 2), it was possible for us to inventory the
malware’s capabilities. Table 3 shows the keywords used in responses along with the description of each capability.
Keyword Description
shell Execute a shell command
deleteall Recursively delete all files from C:, D:, F:, and G:
closecd Close the CD-ROM drive door
setwallpaper Change the background wallpaper
ddos Send TCP and UDP packets to a given host or IP address
logoff Log off the current user
keyboardrecorder Replay keystrokes as if the user had typed them
fm_newfolder Create a new folder
fm_rename Rename or move a file
desktopHide Hide desktop icons
keyloggerstart Start logging keystrokes
exec_cs_code Compile and execute C# code
msgbox Open a Windows MessageBox
fm_upload Transfer a file from the C2 to the client
rdp Re-spawn the malware running as an administrator
fm_zip Build a ZIP file from a directory tree and transfer it from the client to the C2
webcam Take a webcam picture
fm_unzip Unzip a ZIP file to a given path on the client
keyloggerstop Stop logging keystrokes
fm_drives Enumerate drive letters
cookiestealer Transfer cookies and browser/FileZilla saved credentials to the C2
fm_delete Recursively delete a given directory
dismon Hide desktop icons and taskbar
fm_uploadu Transfer a file from the C2 to the client
taskstart Start a process
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cleardesktop Rotate screen
lcmd Run shell command and send standard output back to C2
taskbarShow Show taskbar
clipboard Set clipboard contents
cookiestealer_file Save cookies and credentials to a local file
newuserpass Create a new local user account
beep Beep for set frequency and duration
speak Use speech synthesizer to speak text
openchat Open chat window
taskbarHide Hide the taskbar
RDStart Start remote control over user’s desktop
closechat Close chat window
RDStop Stop remote control over user’s desktop
fm_opendir List directory contents
uninstall Remove the malware from the client
taskkill Kill a process
forkbomb Endlessly spawn instances of cmd.exe
fm_get Transfer a file from the client to the C2
desktopShow Show desktop icons
Clipboardget Transfer clipboard contents to C2
playaudiourl Play a sound file
opencd Open the CD-ROM drive door
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shutdown Shut down the machine
restart Restart the machine
browseurl Open a web URL in the default browser
Table 3: Capabilities of DCRat
Proof-of-Concept Dark Crystal RAT Server
After gathering information from Dark Crystal RAT about its capabilities and C2 message format, another way to illustrate
the capabilities and test our understanding of the messages was to write a proof-of-concept server. Here is a code snippet
that we wrote containing a barebones DCRat server written in Python. Unlike a real RAT server, this one does not have a
user interface to allow the attacker to pick and launch commands. Instead, it has a pre-scripted command list that it sends to
the RAT.
When the server starts up, it uses the Python BaseHTTPServer to begin listening for incoming web requests (lines 166-174).
Incoming POST requests are assumed to hold a file that the RAT is uploading to the server; this server assumes all file
uploads are screenshots and saves them to “screen.png” (lines 140-155). For GET requests, the server must distinguish
between beacons, ordinary messages, and special messages (lines 123-138). For ordinary messages, __ds_setdata messages
are simply printed to standard output, while the only __ds_getdata message type supported is s_comm (screenshot
communications), to which the server responds with the desired screenshot dimensions (lines 63-84). For messages of type
comm, the server sends four types of commands in sequence: first, it hides the desktop icons; then, it causes the string
“Hello this is tech support” to be spoken; next, it displays a message box asking for a password; finally, it launches the
Windows Calculator (lines 86-121).
Figure 16 shows the results when Dark Crystal RAT is run on a system that has been configured to redirect all traffic to
domalo[.]online to the proof-of-concept server we wrote.
Figure 16: The results when a Dark Crystal RAT instance communicates with the proof-of-concept server
Other Work and Reconnaissance
After reverse engineering Dark Crystal RAT, we continued reconnaissance to see what additional information we could find.
One limitation to our analysis was that we did not wish to allow the sample to communicate with the real C2, so we kept it
isolated from the Internet. To learn more about Dark Crystal RAT we tried two approaches: the first was to browse the Dark
Crystal RAT website (files.dcrat[.]ru) using Tor, and the other was to take a look at YouTube videos of others’ experiments
with the “real” Dark Crystal RAT server.
Dark Crystal RAT Website
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We found that Dark Crystal RAT has a website at files.dcrat[.]ru, shown in Figure 17. Observe that there are options to
download the RAT itself, as well as a few plugins; the DCLIB extension is consistent with the plugin loading code we found
in the RAT.
Figure 17: The website files.dcrat[.]ru allows users to download Dark Crystal RAT and some of its plugins
Figure 18 shows some additional plugins, including plugins with the ability to resist running in a virtual machine, disable
Windows Defender, and disable webcam lights on certain models. No plugins were bundled with the sample we studied.
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Figure 18: Additional plugins listed on the Dark Crystal RAT website
Figure 19 lists software downloads on the RAT page. We took some time to look at these files; here are some interesting
things we discovered:
The DCRat listed on the website is actually a “builder” that packages a build of the RAT and a configuration for the
attacker to deploy. This is consistent with the name DCRatBuild.exe shown back in Figure 4. In our brief testing of
the builder, we found that it had a licensing check. We did not pursue bypassing it once we found public YouTube
videos of the DCRat builder in operation, as we show later.
The DarkCrystalServer is not self-contained, rather, it is just a PHP file that allows the user to supply a username and
password, which causes it to download and install the server software. Due to the need to supply credentials and
communicate back with dcrat[.]ru (Figure 20), we did not pursue further analysis of DarkCrystalServer.
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Figure 19: The RAT page lists software for the RAT, the server, an API, and plugin development
Figure 20: The DarkCrystalServer asks for a username and password and calls back to dcrat[.]ru to download software, so
we did not pursue it further
YouTube Videos
As part of confirming our findings about Dark Crystal RAT capabilities that we obtained through reverse engineering, we
found some YouTube demonstrations of the DCRat builder and server.
The YouTube user LIKAR has a YouTube demonstration of Dark Crystal RAT. The author demonstrates use of the Dark
Crystal RAT software on a server with two active RAT instances. During the video, the author browses through the various
screens in the software. This made it easy to envision how a cyber threat would use the RAT, and to confirm our suspicions
of how it works.
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Figure 21 shows a capture from the video at 3:27. Note that the Dark Crystal RAT builder software refers to the DCRatBuild
package as a “server” rather than a client. Nonetheless, observe that one of the options was a type of Java, or C# (Beta). By
watching this YouTube video and doing some additional background research, we discovered that Dark Crystal RAT has
existed for some time in a Java version. The C# version is relatively new. This explained why we could not find much
detailed prior reporting about it.
Figure 21: A YouTube demonstration revealed that Dark Crystal RAT previously existed in a Java version, and the C#
version we analyzed is in beta
Figure 22 shows another capture from the video at 6:28. The functionality displayed on the screen lines up nicely with the
“msgbox”, “browseurl”, “clipboard”, “speak”, “opencd”, “closecd”, and other capabilities we discovered and enumerated in
Table 6.
Figure 22: A YouTube demonstration confirmed many of the Dark Crystal RAT capabilities we found in reverse engineering
Conclusion
In this post we walked through our analysis of the sample that the threat intel team provided to us and all its components.
Through our initial triage, we found that its “dfsds.exe” component is Dark Crystal RAT. We found that Dark Crystal RAT
was a .NET executable, and reverse engineered it. We extracted the malware’s configuration, and through dynamic analysis
discovered the syntax of its C2 communications. We implemented a small proof-of-concept server to test the correct format
of commands that can be sent to the malware, and how to interpret its uploaded screenshots. Finally, we took a second look
at how actual threat actors would download and use Dark Crystal RAT.
To conclude, indicators of compromise for this version of Dark Crystal RAT (MD5: 047af34af65efd5c6ee38eb7ad100a01)
are given in Table 4.
Indicators of Compromise
Dark Crystal RAT (dfsds.exe)
Handle
artifacts
Mutex
name
bc2dc004028c4f0303f5e49984983352
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Registry
artifacts
Registry
value
HKCU\Software\Microsoft\Windows\CurrentVersion\Run\scrss
Registry
value
HKCU\Software\Microsoft\Windows\CurrentVersion\Run\Wininit
File
system
artifacts
File C:\Sysdll32.lnk
File %APPDATA%\dotNET.lnk
File Start Menu\Programs\Startup\Sysdll32.lnk
File Start Menu\Programs\Startup\dotNET.lnk
File %APPDATA%\<random process name>.exe
File C:\<random process name>.exe
Network
artifacts
HTTP
request
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6m
HTTP
request
hxxp://domalo[.]online/ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6m
type=__ds_getdata&__ds_getdata_user=<user_hash>&__ds_getdata_ext=<message_hash>&__ds_getdata_key=<key>
HTTP
request
hxxp://domalo[.]online /ksezblxlvou3kcmbq8l7hf3f4cy5xgeo4udla91dueu3qa54/46kqbjvyklunp1z56txzkhen7gjci3cyx8ggkptx25i74mo6
TCP
connection
domalo[.]online:80
TCP
connection
ipinfo[.]ip
DNS
lookup
domalo[.]online
DNS
lookup
ipinfo[.]ip
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Strings
Static
string
DCRatBuild
Table 4: IoCs for this instance of DCRat
FireEye Product Support for Dark Crystal RAT
Table 5 describes how FireEye products react to the initial sample (MD5: b478d340a787b85e086cc951d0696cb1) and its
Dark Crystal RAT payload, or in the case of Mandiant Security Validation, allow a stakeholder to validate their own
capability to detect Dark Crystal RAT.
FireEye Product Support for Dark Crystal RAT
FireEye Network
Security (NX)
Backdoor.Plurox detection
FireEye Email Security
(EX & ETP)
Backdoor.MSIL.DarkCrystal, Backdoor.Plurox, Malware.Binary.exe, Trojan.Vasal.FEC3,
Win.Ransomware.Cerber-6267996-1, fe_ml_heuristic detections
FireEye Endpoint
Security (HX)
Trojan.GenericKD.32546165, Backdoor.MSIL.DarkCrystal detections
FireEye Malware
Analysis (AX)
Backdoor.Plurox.FEC2 detection
FireEye Detection on
Demand (DoD)
Backdoor.Plurox.FEC2, FireEye.Malware detections
Mandiant Security
Validation
Built-in Action coming soon
Table 5: Support in FireEye products to detect Dark Crystal RAT or validate detection capability
Posted in
Threat Intelligence
Security & Identity
Source: https://www.fireeye.com/blog/threat-research/2020/05/analyzing-dark-crystal-rat-backdoor.html
https://www.fireeye.com/blog/threat-research/2020/05/analyzing-dark-crystal-rat-backdoor.html
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C:\Sysdll32.lnk. After its persistence steps, the malware checks for multiple instances of the malware:
1. The malware sleeps for a random interval between 5 and 7 seconds.
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