MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 ba506220da7766c2e8fa5637c9046a20e3844ef7e53681242fae6d532c88affd. While MalwareBazaar tries to identify whether the sample provided is malicious or not, there is no guarantee that a sample in MalwareBazaar is malicious.

Database Entry



RemcosRAT


Vendor detections: 12


Intelligence 12 IOCs YARA 2 File information Comments

SHA256 hash: ba506220da7766c2e8fa5637c9046a20e3844ef7e53681242fae6d532c88affd
SHA3-384 hash: 214d5c65e232890472bba7051fd39f14ba30c470bcce7c737759569d564941d03098155b8523593b2ec04915ee52a660
SHA1 hash: 8d419beb4bcb66922cd3d2086fb6417c42a6f84d
MD5 hash: 6e027181b4a60ed326ea40995938ae51
humanhash: october-white-oscar-floor
File name:zxdonmn.doc
Download: download sample
Signature RemcosRAT
File size:832'827 bytes
First seen:2024-12-04 12:11:22 UTC
Last seen:2024-12-05 04:45:27 UTC
File type:Word file doc
MIME type:text/plain
ssdeep 6144:6wAYwAYwAYwAYwAYwAYwAYwAYwAYwAYwAYwAYwAYwAYwAV/uymiAdDiDL7NdQLST:E37
TLSH T17105682DD30F02599F624237AB5A1E5542BDBB7EF38451A1346C433933EAC3DA2252BD
Magika rtf
Reporter abuse_ch
Tags:CVE-2017-11882 doc RemcosRAT

Intelligence


File Origin
# of uploads :
2
# of downloads :
468
Origin country :
DE DE
Vendor Threat Intelligence
Malware family:
n/a
ID:
1
File name:
zxdonmn.doc
Verdict:
No threats detected
Analysis date:
2024-12-04 12:18:08 UTC
Tags:
n/a

Note:
ANY.RUN is an interactive sandbox that analyzes all user actions rather than an uploaded sample
Verdict:
Legit
File type:
application/msword
Has a screenshot:
False
Contains macros:
False
Verdict:
Malicious
Score:
93.3%
Tags:
virus gates
Result
Verdict:
Malware
Maliciousness:

Behaviour
Searching for the window
Creating a window
Сreating synchronization primitives
Using the Windows Management Instrumentation requests
Result
Verdict:
Malicious
File Type:
RTF File
Behaviour
BlacklistAPI detected
Verdict:
Malicious
Threat level:
  10/10
Confidence:
100%
Tags:
embedequation exploit shellcode
Result
Threat name:
n/a
Detection:
malicious
Classification:
expl
Score:
100 / 100
Signature
AI detected landing page (webpage, office document or email)
Antivirus / Scanner detection for submitted sample
Antivirus detection for URL or domain
Document exploit detected (process start blacklist hit)
Initial sample is an obfuscated RTF file
Malicious sample detected (through community Yara rule)
Multi AV Scanner detection for submitted file
Office equation editor establishes network connection
Office equation editor starts processes (likely CVE 2017-11882 or CVE-2018-0802)
Sigma detected: EQNEDT32.EXE connecting to internet
Sigma detected: Equation Editor Network Connection
Behaviour
Behavior Graph:
Threat name:
Document-RTF.Exploit.CVE-2017-11882
Status:
Malicious
First seen:
2024-11-11 05:46:20 UTC
File Type:
Document
Extracted files:
3
AV detection:
19 of 38 (50.00%)
Threat level:
  5/5
Result
Malware family:
n/a
Score:
  8/10
Tags:
discovery
Behaviour
Checks processor information in registry
Enumerates system info in registry
Launches Equation Editor
Suspicious behavior: AddClipboardFormatListener
Suspicious use of SetWindowsHookEx
Suspicious use of WriteProcessMemory
Office loads VBA resources, possible macro or embedded object present
System Location Discovery: System Language Discovery
Drops file in Windows directory
Blocklisted process makes network request
Verdict:
Suspicious
Tags:
n/a
YARA:
n/a
Please note that we are no longer able to provide a coverage score for Virus Total.

YARA Signatures


MalwareBazaar uses YARA rules from several public and non-public repositories, such as YARAhub and Malpedia. Those are being matched against malware samples uploaded to MalwareBazaar as well as against any suspicious process dumps they may create. Please note that only results from TLP:CLEAR rules are being displayed.

Rule name:SUSP_INDICATOR_RTF_MalVer_Objects
Author:ditekSHen
Description:Detects RTF documents with non-standard version and embedding one of the object mostly observed in exploit (e.g. CVE-2017-11882) documents.
Reference:https://github.com/ditekshen/detection
Rule name:SUSP_RTF_Header_Anomaly_RID2F7F
Author:Florian Roth
Description:Detects malformed RTF header often used to trick mechanisms that check for a full RTF header
Reference:https://twitter.com/ItsReallyNick/status/975705759618158593

File information


The table below shows additional information about this malware sample such as delivery method and external references.

Web download

RemcosRAT

Word file doc ba506220da7766c2e8fa5637c9046a20e3844ef7e53681242fae6d532c88affd

(this sample)

  
Delivery method
Distributed via web download

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