MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 70535e402e399e2743de32189aa712eeb0f8fdb4c2b8daafd01d5fbdaf438ad4. 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



Threat unknown


Vendor detections: 13


Intelligence 13 IOCs YARA 1 File information Comments

SHA256 hash: 70535e402e399e2743de32189aa712eeb0f8fdb4c2b8daafd01d5fbdaf438ad4
SHA3-384 hash: fe43b187b2b77c6d2ba742925349055e701d979b4886f366c427def8c17fca560455dae4aa66f33833168f40c745aa4c
SHA1 hash: b3b77df778150e74769459d3bc1acf13ff6fd65d
MD5 hash: e517cb57f7252934641076a6f74b9701
humanhash: moon-lamp-autumn-nitrogen
File name:2h328ds7f87sdf87823jhjdhjfjahfjkhksajf987fd798sd9f89.doc
Download: download sample
File size:27'138 bytes
First seen:2026-02-12 18:49:30 UTC
Last seen:2026-02-12 20:23:45 UTC
File type:Word file doc
MIME type:text/rtf
ssdeep 768:U5awhyQ30WmsKPHM6yKr1Ig7uKVZF5OdhIZ4REjkbFB+JTT/OuK9:U5nyQ30WmsKPHM6yKpIg7uK7F5kjRekP
TLSH T1B5C2BE7EB76F8E699B56969A461A3A8A467CF53E538140C0BFBCB33075388078F30134
TrID 83.3% (.RTF) Rich Text Format (5000/1)
16.6% (.JSON) JSON object (generic) (1000/1)
Magika unknown
Reporter abuse_ch
Tags:CVE-2017-11882 doc

Intelligence


File Origin
# of uploads :
3
# of downloads :
93
Origin country :
DE DE
Vendor Threat Intelligence
Malware configuration found for:
LCGKit MSO
Details
LCGKit
a download url and filepath
LCGKit
LCG parameters and decrypted shellcode
MSO
extracted component(s) such as package(s) and OLE files
Malware family:
n/a
ID:
1
File name:
Order Placement Request.docx
Verdict:
No threats detected
Analysis date:
2026-02-02 11:12:35 UTC
Tags:
doc-url

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:
94.9%
Tags:
office shell sage
Result
Verdict:
Malicious
File Type:
Fake RTF File
Behaviour
BlacklistAPI detected
Label:
Malicious
Suspicious Score:
10/10
Score Malicious:
1%
Score Benign:
0%
Result
Gathering data
Verdict:
Malicious
File Type:
rtf
First seen:
2026-01-30T09:17:00Z UTC
Last seen:
2026-02-12T15:39:00Z UTC
Hits:
~100
Result
Threat name:
n/a
Detection:
malicious
Classification:
expl
Score:
68 / 100
Signature
Antivirus / Scanner detection for submitted sample
Document exploit detected (process start blacklist hit)
Malicious sample detected (through community Yara rule)
Multi AV Scanner detection for submitted file
Behaviour
Behavior Graph:
Verdict:
inconclusive
YARA:
2 match(es)
Tags:
RTF File
Verdict:
Malicious
Threat:
Exploit.MSOffice.CVE-2018-0802
Threat name:
Document-RTF.Exploit.CVE-2017-11882
Status:
Malicious
First seen:
2026-01-30 10:32:46 UTC
File Type:
Document
Extracted files:
4
AV detection:
19 of 36 (52.78%)
Threat level:
  5/5
Result
Malware family:
n/a
Score:
  1/10
Tags:
n/a
Behaviour
Checks processor information in registry
Enumerates system info in registry
Suspicious behavior: AddClipboardFormatListener
Suspicious use of SetWindowsHookEx
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

File information


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

Web download

Word file doc 70535e402e399e2743de32189aa712eeb0f8fdb4c2b8daafd01d5fbdaf438ad4

(this sample)

  
Delivery method
Distributed via web download

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