STOMP 2 DIS: Brilliance in the (Visual) Basics

Throughout January 2020, FireEye has continued to observe multiple
targeted phishing campaigns designed to download and deploy a backdoor
we track as MINEBRIDGE. The campaigns primarily targeted financial
services organizations in the United Stat…

Throughout January 2020, FireEye has continued to observe multiple
targeted phishing campaigns designed to download and deploy a backdoor
we track as MINEBRIDGE. The campaigns primarily targeted financial
services organizations in the United States, though targeting is
likely more widespread than those we’ve initially observed in our
FireEye product telemetry. At least one campaign targeted South Korean
organizations, including a marketing agency.

In these campaigns, the phishing documents appeared to be carefully
crafted and leveraged some publicly-documented — but in our experience
uncommon and misunderstood — TTPs, likely in an effort to decrease
detection of the malicious documents’ macros. The actor also used a
self-hosted email marketing solution across multiple campaigns.
Notably, the payload delivered in these campaigns leveraged a packer
previously affiliated with a commonly-tracked threat actor, an overlap
that we will explore later.

This blog post will review the theme of these campaigns and their
targets, the adversary’s unique tradecraft, the MINEBRIDGE C++
backdoor, some potential attribution overlaps, and importantly — the
threat actor’s love of rap music.

Targeting and Lure Detail

While we first identified MINEBRIDGE samples in December, we
observed our first phishing campaigns relating to this activity in
early January 2020. Email addresses used to send phishing messages
were associated with domains that appear to have been registered
specifically for this purpose within a few weeks of the activity — and
were thematically consistent with the content of the phishing messages.

Additionally, the actor(s) responsible are likely using a
self-hosted email marketing solution called Acelle. Acelle adds extended
email headers to messages sent via the platform in the format of
X-Acelle-<variable>. The messages observed across campaigns
using these TTPs have included a “Customer-Id” value matching
“X-Acelle-Customer-Id: 5df38b8fd5b58”. While that field remained
consistent across all observed campaigns, individual campaigns also
shared overlapping “X-Acelle-Sending-Server_Id” and
“X-Acelle-Campaign-Id” values. All of the messages also included a
“List-Unsubscribe” header offering a link hosted at 45.153.184.84
suggesting that it is the server hosting the Acelle instance used
across these campaigns. The sample table for one campaign below
illustrates this data:

Timestamp

Sender

Subject

x-acelle-subscriber-id

x-acelle-sending-server-id

x-acelle-customer-id

x-acelle-campaign-id

1/7/20 16:15

info@rogervecpa.com

tax return file

25474792e6f8c

5e14a2664ffb4

5df38b8fd5b58

5e14a2664ffb4

1/7/20 15:59

info@rogervecpa.com

tax return file

22e183805a051

5e14a2664ffb4

5df38b8fd5b58

5e14a2664ffb4

1/7/20

info@rogervecpa.com

tax return file

657e1a485ed77

5e14a2664ffb4

5df38b8fd5b58

5e14a2664ffb4

1/7/20 16:05

info@rogervecpa.com

tax return file

ddbbffbcb5c6c

5e14a2664ffb4

5df38b8fd5b58

5e14a2664ffb4

The URLs requested by the malicious documents and serving the final
MINEBRIDGE payloads delivered in each of these campaigns provide
additional overlap across campaigns. In all observed cases, the
domains used the same bullet-proof hosting service. The URI used to
download the final payload was “/team/invest.php” or, in one case,
“/team/rumba.php”. Perhaps the most fun overlap, however, was
discovered when trying to identify additional artifacts of interest
hosted at similar locations. In most cases a GET request to the parent
directory of “/team/” on each of the identified domains served up the
lyrics to rap group Onyx’s “Bang 2 Dis” masterpiece. We will refrain
from sharing the specific verse hosted due to explicit content.

One of the more notable characteristics of this activity was the
consistency in themes used for domain registration, lure content,
similarities in malicious document macro content, and targeting. Since
first seeing these emails, we’ve identified at least 3 distinct campaigns.

Campaign #1: January 7, 2020 – Tax Theme
  • Emails associated with this campaign used the CPA themed
    domain rogervecpa.com registered in late November and the subject
    line “Tax Return File” with IRS related text in the message
    body.
  • The attached payload was crafted to look like an
    H&R Block related tax form.
  • Observed targeting included
    the financial sector exclusively.

Campaign #2: January 8, 2020 – Marketing Theme
  • Emails associated with this campaign used the same CPA themed
    domain rogervecpa.com along with pt-cpaaccountant.com, also
    registered late November.
  • The subject line and message body
    offered a marketing partnership opportunity to the victim.
  • The attached payload used a generic theme enticing users to
    enable macro content.
  • Observed targeting focused on a South
    Korean marketing agency.

Campaign #3: January 28, 2020 – Recruiting Theme
  • Emails associated with this campaign were sent from several
    different email addresses, though all used the recruiting-themed
    domain agent4career.com which was registered on January 20,
    2020.
  • The subject line and message body referenced an
    employment candidate with experience in the financial sector.
  • The attached payload masqueraded as the resume of the same
    financial services candidate referenced in the phishing email.
  • Observed targeting included the financial sector
    exclusively.

Quit Stepping All Over My Macros

The phishing documents themselves leverage numerous interesting TTPs
including hiding macros from the Office GUI, and VBA stomping.

VBA stomping is a colloquial term applied to the manipulation of
Office documents where the source code of a macro is made to mismatch
the pseudo-code (hereto referred to as "p-code") of the
document. In order to avoid duplicating research and wasting the
reader’s time, we will instead reference the impressive work of our
predecessors and peers in the industry. As an introduction to the
concept, we first recommend reading the
tool release blog post
 for EvilClippy from
Outflank. The security team at Walmart has also published incredible research on the
methodology. Vesselin Bontchev provides a useful open source utility
for dumping the p-code from an Office document in pcodedmp. This tool
can be leveraged to inspect the p-code of a document separate from its
VBA source. It was adopted by the wider open source analysis toolkit
oletools in
order to detect the presence of stomping via comparison
of p-code mnemonics vs keyword extraction in VBA source
.

That is a whole lot of quality reading for those interested. For the
sake of brevity, the most important result of VBA stomping as relevant
to this blog post is the following:

  • Static analysis tools focusing on VBA macro source extraction
    may be fooled into a benign assessment of a document bearing
    malicious p-code.
  • When VBA source is removed, and a
    document is opened in a version of Office for which the p-code was
    not compiled to execute, a macro will not execute correctly,
    resulting in potential failed dynamic analysis.
  • When a
    document is opened under a version of Office that uses a VBA version
    that does not match the version of Office used to create the
    document, VBA source code is recompiled back into p-code.
  • When a document is opened in Office and the GUI is used to view
    the macro, the embedded p-code is decompiled to be viewed.

The final two points identify some interesting complications in
regard to leveraging this methodology more broadly. Versioning
complexities arise that toolkits like EvilClippy leverage Office
version enumeration features to address. An actor’s VBA stomped
document containing benign VBA source but evil p-code must know the
version of Office to build the p-code for, or their sample will not
detonate properly. Additionally, if an actor sends a stomped document,
and a user or researcher opens the macro in the Office editor, they
will see malicious code.

Our actor addressed the latter point of this complication by
leveraging what we assess to be another feature of the EvilClippy
utility, wherein viewing the macro source is made inaccessible to a
user within Office by modifying the PROJECT
stream
of the document. Let’s highlight this below using a
publicly available sample we attribute to our actors (SHA256: 18698c5a6ff96d21e7ca634a608f01a414ef6fbbd7c1b3bf0f2085c85374516e):

Document PROJECT stream:

ID="{33C06E73-23C4-4174-9F9A-BA0E40E57E3F}"
Document=ThisDocument/&H00000000
Name="Project"
HelpContextID="0"
VersionCompatible32="393222000"
CMG="A3A1799F59A359A359A359A3"
DPB="87855DBBA57B887C887C88"
GC="6B69B1A794A894A86B"
[Host Extender Info]
&H00000001={3832D640-CF90-11CF-8E43-00A0C911005A};VBE;&H00000000
[Workspace]
ThisDocument=0, 0, 0, 0, C
Module1=26, 26,
388, 131, Z

The above PROJECT stream has been modified. Within the PROJECT
stream workspace, a module is referenced. However, there is no module
defined. We would expect the unmodified PROJECT stream of this
document prior to utilization of a tool to modify it to be as follows:

ID="{33C06E73-23C4-4174-9F9A-BA0E40E57E3F}"
Document=ThisDocument/&H00000000
Module=”Module1”
Name="Project"
HelpContextID="0"
VersionCompatible32="393222000"
CMG="A3A1799F59A359A359A359A3"
DPB="87855DBBA57B887C887C88"
GC="6B69B1A794A894A86B"
[Host Extender Info]
&H00000001={3832D640-CF90-11CF-8E43-00A0C911005A};VBE;&H00000000
[Workspace]
ThisDocument=0, 0, 0, 0, C
Module1=26, 26,
388, 131, Z

It is interesting to note that we initially identified this actor
only performing this manipulation on their malicious
documents—avoiding any versioning complexities–without actually
stomping the p-code to mismatch the VBA source. This seems like an odd
decision and is possibly indicative of an actor assessing what “works”
for their campaigns. The above malicious document is an example of
them leveraging both methodologies, as highlighted by this screenshot
from the awesome publicly available web service IRIS-H Digital Forensics:

We can see that the documents VBA source is a blank Sub procedure
definition. A quick glance at the p-code identifies both network-
based indicators and host- based indicators we can use to determine
what this sample would do when executed on the proper Office version.
When we attempt to open the macro in the GUI editor, Office gets angry:

For analysts looking to identify this methodology holistically, we
recommend the following considerations:

  • The GUI hiding functionality results in an altered project
    stream wherein a module exists, but there is no module, class, or
    baseclass defined in the stream. This is a potential static
    detection.
  • While the macro source is no longer present, there
    are still static strings present in Module1 in this sample which may
    indicate Windows APIs leveraged. This is a potential static
    detection.

  • Utilities like the previously mentioned oletools can do all of
    this detection for you. If you identify false negatives, false
    positives, or bugs, the open source project maintainers respond to
    them regularly like the superheroes that they are:

The above methodology creates questions regarding potential
efficiency problems for scaling any sizable campaign using it. While
tools like EvilClippy provide the means to create difficult to detect
malicious documents that can potentially sneak past some dynamic and
static detections, their payloads have the additional burden of
needing to fingerprint targets to enable successful execution. While
actors with sufficient resources and creativity can no doubt account
for these requirements, it is relevant to note that detections for
these methodologies will likely yield more targeted activity. In fact,
tertiary review of samples employing these techniques identified
unrelated activity delivering both Cobalt Strike BEACON and POSHC2 payloads.

We recently
expanded our internal FireEye threat behavior tree to accommodate
these techniques. At the time of publication, the authors were unable
to directly map the methods – PROJECT stream manipulation and VBA
stomping – to existing techniques in the MITRE
ATT&CK Matrix™ for Enterprise
. However, our team submitted
these as contributions
to the ATT&CK knowledge base prior to publication and will make
additional data available for ATT&CK Sightings.

Crossing The Bridge of Khazad-dûm: The MINEBRIDGE Infection Chain

Successful detonation of the previously detailed malicious document
results in creation of “uCWOncHvBb.dll” via a call to
URLDownloadToFileA to the URL hxxps://marendoger[.]com/team/rumba.php.
The returned MINEDOOR packed MINEBRIDGE sample is saved in the
executing users AppData directory (Eg:
C:\Users\username\AppData\Roaming\uCWOncHvBb.dll), and then subsequent
execution of the DllRegisterServer export via invocation of
“regsvr32.exe /s %AppData%\uCWOncHvBb.dll” occurs:

This will result in a ZIP file being retrieved from the URL
hxxps://creatorz123[.]top/~files_tv/~all_files_m.bin using the Windows
API URLDownloadToFileW. The ZIP file is written to %TEMP%, unzipped to
the newly created directory %AppData%\Windows Media Player, and then deleted:

The ZIP file contains legitimate files required to execute a copy of
TeamViewer, listed in the file creation area of the IOC section of
this post. When a file named TeamViewer.exe is identified while
unzipping, it is renamed to wpvnetwks.exe:

After completing these tasks, uCWOncHvBb.dll moves itself to
%AppData%\Windows Media Player\msi.dll. The phishing macro then closes
the handle to msi.dll, and calls CreateProcessA on wpvnetwks.exe,
which results in the renamed TeamViewer instance side-loading the
malicious msi.dll located alongside it. The malware ensures its
persistence through reboot by creating a link file at
%CISDL_STARTUP%\Windows WMI.lnk, which points to %AppData%\Windows
Media Player\wpnetwks.exe, resulting in its launch at user logon.

The end result is a legitimate, though outdated (version 11,
compiled on September 17, 2018, at 10:30:12 UTC), TeamViewer instance
hijacked by a malicious sideloaded DLL (MINEBRIDGE).

MINEBRIDGE is a 32-bit C++ backdoor designed to be loaded by an
older, unpatched instance of the legitimate remote desktop software
TeamViewer by DLL load-order hijacking. The backdoor hooks Windows
APIs to prevent the victim from seeing the TeamViewer application. By
default, MINEBRIDGE conducts command and control (C2) communication
via HTTPS POST requests to hard-coded C2 domains. The POST requests
contain a GUID derived from the system’s volume serial number, a
TeamViewer unique id and password, username, computer name, operating
system version, and beacon interval. MINEBRIDGE can also communicate
with a C2 server by sending TeamViewer chat messages using a custom
window procedure hook. Collectively, the two C2 methods support
commands for downloading and executing payloads, downloading arbitrary
files, self-deletion and updating, process listing, shutting down and
rebooting the system, executing arbitrary shell commands, process
elevation, turning on/off TeamViewer’s microphone, and gathering
system UAC information.

MINEBRIDGE’s default method of communication is sending HTTPS POST
requests over TCP port 443. This method of communication is always
active; however, the beacon-interval time may be changed via a
command. Before sending any C2 beacons, the sample waits to collect
the TeamViewer generated unique id (<tv_id>) and password
(<tv_pass>) via SetWindowsTextW hooks.

This specific sample continuously sends an HTTP POST request over
TCP port 443 with the URI ~f83g7bfiunwjsd1/g4t3_indata.php to each
host listed below until a response is received.

  • 123faster[.]top
  • conversia91[.]top
  • fatoftheland[.]top
  • creatorz123[.]top
  • compilator333[.]top

The POST body contains the formatted
string uuid=<guid>&id=<tv_id>&pass=<tv_pass>&username=<user_name>&pcname=<comp_name>&osver=<os_version>&timeout=<beacon_interval> where <guid> is
a GUID derived from the system’s volume serial number and formatted
using the format string %06lX-%04lX-%04lX-%06lX. Additionally, the
request uses the hard-coded HTTP User-Agent string "Mozilla/5.0
(iPhone; CPU iPhone OS 11_1_1 like Mac OS X) AppleWebKit/604.3.5
(KHTML, like Gecko) Version/11.0 Mobile/15B150 Safari/604.1"

After a response is received, it’s processed for commands. A single
response may contain multiple commands. For each command executed, the
sample sends an HTTPS POST request over TCP port 443 indicating
success or failure. The sample responds to the commands below.

Command

Description

drun

Download and
execute an executable from a URL provided in the command. File
saved to %TEMP%\<32_rand_chars>.exe.

rundll_command

Download a custom XOR-encoded and LZNT1
compressed DLL from a URL provided in the command and save
to %TEMP%\<32_rand_chars>. Decode, decompress,
and load the DLL in memory and call its entrypoint.

update_command

Move sample file to <sample_name>.old and
download a new version of itself
to <sample_name> where <sample_name> is the name
of this sample (i.e., msi.dll). Relaunch the hosting
TeamViewer application with command-line argument COM1_.
Delete <sample_name>.old.

restart_command

Relaunch the hosting TeamViewer application
with command-line argument COM1_.

terminate_command

Terminate the hosting TeamViewer
application.

kill_command

Create and execute the self-deleting batch
script tvdll.cmd to delete all unzipped files as well as the
sample file. Terminate the hosting TeamViewer application.

poweroff_command

Shutdown the system.

reboot_command

Reboot the system.

setinterval_command

Update the C2 beacon-interval time.

After executing all commands in the response, the sample sleeps for
the designated C2 beacon-interval time. It repeats the process
outlined above to send the next C2 beacon. This behavior repeats indefinitely.

The self-deleting batch script tvdll.cmd contains the following
content where <renamed_TeamVeiwer> is the renamed TeamViewer
executable (i.e., wpvnetwks.exe) and <sample_name> is the name
of this sample (i.e., msi.dll).

@echo off
ping 1.1.1.1 -n 1 -w 5000
> nul
goto nosleep1
:redel1
ping
1.1.1.1 -n 1 -w 750 > nul
:nosleep1
attrib
-a -h -s -r %~d0%~p0TeamViewer_Resource_en.dll
del /f
/q %~d0%~p0TeamViewer_Resource_en.dll
if exist 
"%~d0%~p0TeamViewer_Resource_en.dll" goto
redel1
goto nosleep2
:redel2
ping
1.1.1.1 -n 1 -w 750 > nul
:nosleep2
attrib
-a -h -s -r %~d0%~p0TeamViewer_StaticRes.dll
del /f
/q %~d0%~p0TeamViewer_StaticRes.dll
if exist 
"%~d0%~p0TeamViewer_StaticRes.dll" goto
redel2
goto nosleep3
:redel3
ping
1.1.1.1 -n 1 -w 750 > nul
:nosleep3
attrib
-a -h -s -r %~d0%~p0TeamViewer_Desktop.exe
del /f /q
%~d0%~p0TeamViewer_Desktop.exe
if exist 
"%~d0%~p0TeamViewer_Desktop.exe" goto redel3
goto nosleep4
:redel4
ping 1.1.1.1 -n 1 -w 750
> nul
:nosleep4
attrib -a -h -s -r
%~d0%~p0TeamViewer.ini
del /f /q
%~d0%~p0TeamViewer.ini
if exist 
"%~d0%~p0TeamViewer.ini" goto redel4
goto
nosleep5
:redel5
ping 1.1.1.1 -n 1 -w 750 >
nul
:nosleep5
attrib -a -h -s -r
%~d0%~p0<sample_name>
del /f /q
%~d0%~p0<sample_name>
if exist 
"%~d0%~p0<sample_name>" goto redel5
goto nosleep6
:redel6
ping 1.1.1.1 -n 1 -w 750
> nul
:nosleep6
attrib -a -h -s -r
%~d0%~p0<renamed_TeamVeiwer>
del /f /q
%~d0%~p0<renamed_TeamVeiwer>
if exist 
"%~d0%~p0<renamed_TeamViewer>" goto
redel6
attrib -a -h -s -r %0
del /f /q
%0

Possible Connection to Another Intrusion Set

The identified MINEBRIDGE samples have been packed within a loader
we call MINEDOOR. Since Fall 2019, we’ve observed a group publicly
tracked as TA505 conducting phishing campaigns that use MINEDOOR
to deliver the FRIENDSPEAK backdoor
. The combination of MINEDOOR
and FRIENDSPEAK has also been
publicly discussed using the name Get2
.

The limited overlap in tactics, techniques, and procedures (TTPs)
between campaigns delivering MINEBRIDGE and those delivering
FRIENDSPEAK may suggest that MINEDOOR is not exclusive to TA505.
Recent campaigns delivering FRIENDSPEAK have appeared to use spoofed
sender addresses, Excel spreadsheets with embedded payloads, and
campaign-specific domains that masquerade as common technology
services. Meanwhile, the campaigns delivering MINEBRIDGE have used
actor-controlled email addresses, malicious Word documents that
download payloads from a remote server, and domains with a variety of
themes sometimes registered weeks in advance of the campaign. The
campaigns delivering MINEBRIDGE also appear to be significantly
smaller in both volume and scope than the campaigns delivering
FRIENDSPEAK. Finally, we observed campaigns delivering MINEBRIDGE on
Eastern Orthodox Christmas when Russian-speaking actors are commonly
inactive; we did not observe campaigns delivering FRIENDSPEAK during
the week surrounding the holiday and language resources in the malware
may suggest TA505 actors speak Russian.

It is plausible that these campaigns represent a subset of TA505
activity. For example, they may be operations conducted on behalf of a
specific client or by a specific member of the broader threat group.
Both sets of campaigns used domains that were registered with Eranet
and had the registrant location “JL, US” or “Fujian, CN,” however this
overlap is less notable because we suspect that TA505 has used domains
registered by a service that reuses registrant information.

Post-compromise activity would likely reveal if these campaigns were
conducted by TA505 or a second threat group, however, FireEye has not
yet observed any instances in which a host has been successfully
compromised by MINEBRIDGE. As such, FireEye currently clusters this
activity separately from what the public tracks as TA505.

Acknowledgments

FireEye would like to thank all the dedicated authors of open source
tooling and research referenced in this blog post. Further, FireEye
would like to thank TeamViewer for their collaboration with us on this
matter. The insecure DLL loading highlighted in this blog post was
resolved in TeamViewer 11.0.214397, released on October 22, 2019,
prior to the TeamViewer team receiving any information from FireEye.
Additionally, TeamViewer is working to add further mitigations for the
malware’s functionality. FireEye will update this post with further
data from TeamViewer when this becomes available.

Indicators of Compromise (IOCs)

Suspicious Behaviors
  • Process lineage: Microsoft Word launching TeamViewer
  • Directory Creation: %APPDATA%\Windows Media Player
  • File
    Creation:

    • %APPDATA%\Windows Media Player\msi.dll
    • %APPDATA%\Windows Media Player\msi.dll.old
    • %APPDATA%\Windows Media Player\tvdll.cmd
    • %APPDATA%\Windows Media Player\wpvnetwks.exe
    • %APPDATA%\Windows Media
      Player\TeamViewer_Resource_en.dll
    • %APPDATA%\Windows Media
      Player\TeamViewer_StaticRes.dll
    • %APPDATA%\Windows Media
      Player\TeamViewer_Desktop.exe
    • %APPDATA%\Windows Media
      Player\TeamViewer.ini
    • %CSIDL_STARTUP%\Windows
      WMI.lnk
    • %CSIDL_PROFILE%\<dll_name>.xpdf
    • %TEMP%\<32 random characters>
    • %TEMP%\<32
      random characters>.exe
    • %TEMP%\~8426bcrtv7bdf.bin
  • Network
    Activity:

    • HTTPS Post requests to C2 URLs
    • User-Agent String: "Mozilla/5.0 (iPhone; CPU iPhone OS
      11_1_1 like Mac OS X) AppleWebKit/604.3.5 (KHTML, like Gecko)
      Version/11.0 Mobile/15B150 Safari/604.1"

C2 Domains

  • 123faster[.]top
  • conversia91[.]top
  • fatoftheland[.]top
  • creatorz123[.]top
  • compilator333[.]top
Download Domains
  • neurogon[.]com
  • tiparcano[.]com
  • seigortan[.]com
  • marendoger[.]com
  • badiconreg[.]com
Sender Domains
  • pt-cpaaccountant[.]com
  • rogervecpa[.]com
  • agent4career[.]com
  • bestrecruitments[.]com
Phishing Documents

MD5

SHA256

01067c8e41dae72ce39b28d85bf923ee

80e48391ed32e6c1ca13079d900d3afad62e05c08bd6e929dffdd2e3b9f69299

1601137b84d9bebf21dcfb9ad1eaa69d

3f121c714f18dfb59074cbb665ff9e7f36b2b372cfe6d58a2a8fb1a34dd71952

1c883a997cbf2a656869f6e69ffbd027

de7c7a962e78ceeee0d8359197daeb2c3ca5484dc7cf0d8663fb32003068c655

2ed49bd499c9962e115a66665a6944f6

b8f64a83ad770add6919d243222c62471600e64789264d116c560b7c574669ec

3b948368fe1a296f5ed18b11194ce51c

999d4f434bbc5d355656cc2a05982d61d6770a4c3c837dd8ec6aff8437ae405a

4148281424ff3e85b215cd867746b20c

9812123d2367b952e68fa09bd3d1b3b3db81f0d3e2b3c03a53c21f12f1f4c889

54f22fbc84f4d060fcbf23534a02e5f6

7b20e7e4e0b1c0e41de72c75b1866866a8f61df5a8af0ebf6e8dbd8f4e7bdc57

5a3d8348f04345f6687552e6b7469ac1

77a33d9a4610c4b794a61c79c93e2be87886d27402968310d93988dfd32a2ccf

607d28ae6cf2adb87fcb7eac9f9e09ab

f3917832c68ed3f877df4cd01635b1c14a9c7e217c93150bebf9302223f52065

9ba3275ac0e65b9cd4d5afa0adf401b4

18698c5a6ff96d21e7ca634a608f01a414ef6fbbd7c1b3bf0f2085c85374516e

9becd2fd73aa4b36ad9cd0c95297d40b

30025da34f6f311efe6b7b2c3fe334f934f3f6e6024e4d95e8c808c18eb6de03

9cce3c9516f0f15ce18f37d707931775

bf0adb30ca230eee6401861e1669b9cfeaa64122cc29c5294c2198f2d82f760e

9faf9e0c5945876c8bad3c121c91ea15

88c4019e66564ad8c15b189b903276910f9d828d5e180cac30f1f341647278fc

a37e6eeb06729b6108649f21064b16ef

e895dc605c6dcaf2c3173b5ec1a74a24390c4c274571d6e17b55955c9bd48799

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3f4f546fba4f1e2ee4b32193abcaaa207efe8a767580ab92e546d75a7e978a0b

MINEBRIDGE/MINEDOOR Samples

MD5

SHA256

05432fc4145d56030f6dd6259020d16c

182ccc7f2d703ad732ffee0e1d9ae4ae5cf6b8817cc33fd44f203d31868b1e97

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0dd556bf03ecb42bf87d5ea7ce8efafe

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1e9c836f997ddcbd13de35a0264cf9f1

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fb1555210d04286c7bcb73ca57e8e430

36da56815dc0c274fc8aacdfffbc4d5e500025ccd1147cad513d59b69ab9557d

 


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