MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 2840dbe68611c23040d1bcd78b9473dcd48de959c93280ee78f105b5af51fe75. 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
Emotet (aka Heodo)
Vendor detections: 7
| SHA256 hash: | 2840dbe68611c23040d1bcd78b9473dcd48de959c93280ee78f105b5af51fe75 |
|---|---|
| SHA3-384 hash: | 9fb6984a0a10b57836e87ff7e5c468f930100ef22f10b9f579d3bb2e0d1fe44873c304d5c23136b1d7bf6770bca548e2 |
| SHA1 hash: | caf02a6a11914949740ec83ea7f0623241af7c4c |
| MD5 hash: | 43f6b3dde24ef3263f2d26e76f24dfbd |
| humanhash: | december-florida-london-four |
| File name: | ABDKBANMFAUVTEZM.doc |
| Download: | download sample |
| Signature | Heodo |
| File size: | 175'266 bytes |
| First seen: | 2020-07-28 10:34:09 UTC |
| Last seen: | 2020-07-28 10:34:21 UTC |
| File type: |  doc |
| MIME type: | application/msword |
| ssdeep | 3072:+gn4PrXcuQuvpzm4bkiaMQgAlSOroF+K/8DaCpppwalMR2:uDRv1m4bnQgISOroF7+wal62 |
| TLSH | E20408817CB1BC6FE19411B308AFCE6C121FAC0397719D16FA8E336EAB31569D25D624 |
| Reporter |  JAMESWT_WT |
| Tags: | Emotet Heodo |
Intelligence
File Origin
# of uploads :
2
# of downloads :
76
Origin country :
n/a
Vendor Threat Intelligence
Result
Verdict:
Malware
Maliciousness:
Behaviour
Creating a window
Using the Windows Management Instrumentation requests
Creating a process with a hidden window
DNS request
Sending an HTTP GET request
Creating a file
Creating a process from a recently created file
Moving a file to the Windows subdirectory
Creating a service
Connection attempt
Sending an HTTP POST request
Deleting a recently created file
Enabling autorun for a service
Bypassing of proactive protection methods using Windows Management Instrumentation (WMI)
Launching a process by exploiting the app vulnerability
Result
Threat name:
Emotet
Detection:
malicious
Classification:
bank.troj.evad
Score:
100 / 100
Signature
Antivirus / Scanner detection for submitted sample
Antivirus detection for URL or domain
Changes security center settings (notifications, updates, antivirus, firewall)
Creates processes via WMI
Document contains an embedded VBA with many string operations indicating source code obfuscation
Document contains VBA stomped code (only p-code) potentially bypassing AV detection
Drops executables to the windows directory (C:\Windows) and starts them
Drops PE files to the user root directory
Encrypted powershell cmdline option found
Hides that the sample has been downloaded from the Internet (zone.identifier)
Machine Learning detection for dropped file
Malicious encrypted Powershell command line found
Multi AV Scanner detection for domain / URL
Multi AV Scanner detection for dropped file
Multi AV Scanner detection for submitted file
Office document tries to convince victim to disable security protection (e.g. to enable ActiveX or Macros)
PowerShell case anomaly found
Powershell drops PE file
Very long command line found
Yara detected Emotet
Yara detected Emotet Downloader
Behaviour
Behavior Graph:
Detection:
emotet
Threat name:
Document-Word.Trojan.Emotet
Status:
Malicious
First seen:
2020-07-28 10:30:50 UTC
File Type:
Document
Extracted files:
42
AV detection:
21 of 29 (72.41%)
Threat level:
5/5
Detection(s):
Malicious file
Result
Malware family:
n/a
Score:
8/10
Tags:
macro
Behaviour
Suspicious Office macro
Please note that we are no longer able to provide a coverage score for Virus Total.
Threat name:
Emotet
Score:
1.00
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: | ach_Heodo_doc_20200728 |
|---|---|
| Author: | abuse.ch |
| Description: | Detects Heodo DOC |
| Rule name: | ach_Heodo_doc_gen |
|---|---|
| Author: | abuse.ch |
| Description: | Detects Heodo DOC |
| Rule name: | Cobalt_functions |
|---|---|
| Author: | @j0sm1 |
| Description: | Detect functions coded with ROR edi,D; Detect CobaltStrike used by differents groups APT |
| Rule name: | MALW_emotet |
|---|---|
| Author: | Marc Rivero | McAfee ATR Team |
| Description: | Rule to detect unpacked Emotet |
| Rule name: | SharedStrings |
|---|---|
| Author: | Katie Kleemola |
| Description: | Internal names found in LURK0/CCTV0 samples |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
Web download
Delivery method
Distributed via web download
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