MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 546f9791429d4a67c72f5fbca785e424130760cb491668496bfe77d3a8648ed3. 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



Mirai


Vendor detections: 10


Intelligence 10 IOCs YARA 9 File information Comments

SHA256 hash: 546f9791429d4a67c72f5fbca785e424130760cb491668496bfe77d3a8648ed3
SHA3-384 hash: 6c4c611fb7ada242f9952797135c7a8310685304493b3191d84302a8269fd0224bb8ee5c76c490ff1af8949089930754
SHA1 hash: c888e5402a27169a60bd7e0b876411bef2002e70
MD5 hash: 298ff8a6a04593861828e2392433e81c
humanhash: south-utah-september-nuts
File name:boatnet.arc
Download: download sample
Signature Mirai
File size:107'800 bytes
First seen:2026-04-01 16:34:07 UTC
Last seen:Never
File type: elf
MIME type:application/x-executable
ssdeep 1536:Fu27gBY9FSSpj3z5Qxw6YaWWgg1e/LWy:c9sSyzz36YaWWgg1eq
TLSH T1E7B39CDBF24701A0C8624AF007CB4BED3E2723815F27C5E72C6A657968791CF8906F96
TrID 50.1% (.) ELF Executable and Linkable format (Linux) (4022/12)
49.8% (.O) ELF Executable and Linkable format (generic) (4000/1)
Magika elf
Reporter abuse_ch
Tags:elf mirai

Intelligence


File Origin
# of uploads :
1
# of downloads :
106
Origin country :
DE DE
Vendor Threat Intelligence
Gathering data
Verdict:
Likely Malicious
Threat level:
  7.5/10
Confidence:
100%
Tags:
masquerade mirai
Verdict:
Malicious
File Type:
elf.32.le
First seen:
2026-04-01T11:23:00Z UTC
Last seen:
2026-04-01T11:57:00Z UTC
Hits:
~10
Detections:
HEUR:Backdoor.Linux.Mirai.cw HEUR:Backdoor.Linux.Mirai.b HEUR:Backdoor.Linux.Mirai.h
Status:
terminated
Behavior Graph:
%3 guuid=0a77722c-1800-0000-61e8-0ba9660c0000 pid=3174 /usr/bin/sudo guuid=f532832f-1800-0000-61e8-0ba9670c0000 pid=3175 /tmp/sample.bin guuid=0a77722c-1800-0000-61e8-0ba9660c0000 pid=3174->guuid=f532832f-1800-0000-61e8-0ba9670c0000 pid=3175 execve
Result
Threat name:
Detection:
malicious
Classification:
troj
Score:
72 / 100
Signature
Antivirus / Scanner detection for submitted sample
Malicious sample detected (through community Yara rule)
Multi AV Scanner detection for submitted file
Yara detected Mirai
Behaviour
Behavior Graph:
Threat name:
Linux.Worm.Mirai
Status:
Malicious
First seen:
2026-04-01 14:08:34 UTC
File Type:
ELF32 Little (Exe)
AV detection:
24 of 36 (66.67%)
Threat level:
  5/5
Result
Malware family:
Score:
  10/10
Tags:
family:mirai botnet:lzrd linux
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:botnet_Yakuza
Author:NDA0E
Description:Yakuza botnet
Rule name:CP_Script_Inject_Detector
Author:DiegoAnalytics
Description:Detects attempts to inject code into another process across PE, ELF, Mach-O binaries
Rule name:ELF_Toriilike_persist
Author:4r4
Description:Detects Torii IoT Botnet (stealthier Mirai alternative)
Reference:Identified via researched data
Rule name:F01_s1ckrule
Author:s1ckb017
Rule name:linux_generic_ipv6_catcher
Author:@_lubiedo
Description:ELF samples using IPv6 addresses
Rule name:Linux_Trojan_Gafgyt_28a2fe0c
Author:Elastic Security
Rule name:Linux_Trojan_Gafgyt_ea92cca8
Author:Elastic Security
Rule name:TH_Generic_MassHunt_Linux_Malware_2026_CYFARE
Author:CYFARE
Description:Generic Linux malware mass-hunt rule - 2026
Reference:https://cyfare.net/
Rule name:unixredflags3
Author:Tim Brown @timb_machine
Description:Hunts for UNIX red flags

File information


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

Web download

Mirai

elf 546f9791429d4a67c72f5fbca785e424130760cb491668496bfe77d3a8648ed3

(this sample)

  
Delivery method
Distributed via web download

Comments