🤲🏼 NEW | abuse.ch Community Hub! Earn recognition 🏅 for the malware intelligence you share, climb the leaderboards 📈, and connect with like-minded contributors who share your hunting focus 🤝. Ready to unlock your profile? Go to the Community Hub →

MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 4ef3d5c9a61d4c2ba274fc8d340262497e335f79588d3423be457e865ecc6698. 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: 12


Intelligence 12 IOCs YARA 11 File information Comments

SHA256 hash: 4ef3d5c9a61d4c2ba274fc8d340262497e335f79588d3423be457e865ecc6698
SHA3-384 hash: 88ab8b16f336464e061a2957f2d0bf641168db5f923df5d642f5a4e387409f6af774f661f307225c972861e32e350edf
SHA1 hash: 06526d15cbad3b0c927ac9479682bce9ab1a60e4
MD5 hash: 50f256224609bed8683dd201f9a5ddf4
humanhash: louisiana-robert-oven-kansas
File name:frost.arm5
Download: download sample
Signature Mirai
File size:66'632 bytes
First seen:2025-12-22 05:53:16 UTC
Last seen:Never
File type: elf
MIME type:application/x-executable
ssdeep 1536:jLabaJKAQlI1W9PvxJC+U3lH/Sscint5sbk5ZKT6:jLajUVfgYbsbeZKT
TLSH T18D532851B8818A23C6D0237AFA6E45CD372163E8E2DF721B9D215F207BC682F0D67E55
telfhash t1884187ea9aa01ede6bf48345968d515cc9bd3daf2f842827dd1ca74f81860c3741e822
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 upx-dec


Avatar
abuse_ch
UPX decompressed file, sourced from SHA256 98e2d7934b42ebce6ecbdbf56fb8bb1c0335bab4dc8b644404b8d8b41a496543
File size (compressed) :27'260 bytes
File size (de-compressed) :66'632 bytes
Format:linux/arm
Packed file: 98e2d7934b42ebce6ecbdbf56fb8bb1c0335bab4dc8b644404b8d8b41a496543

Intelligence


File Origin
# of uploads :
1
# of downloads :
63
Origin country :
NL NL
Vendor Threat Intelligence
No detections
Result
Verdict:
Malware
Maliciousness:
Verdict:
Malicious
Threat level:
  10/10
Confidence:
100%
Tags:
botnet gafgyt masquerade mirai rust
Verdict:
Malicious
File Type:
elf.32.le
First seen:
2025-12-22T03:03:00Z UTC
Last seen:
2025-12-22T03:40:00Z UTC
Hits:
~10
Detections:
HEUR:Backdoor.Linux.Mirai.fg HEUR:Backdoor.Linux.Mirai.ew HEUR:Backdoor.Linux.Mirai.cw HEUR:Backdoor.Linux.Mirai.c HEUR:Backdoor.Linux.Mirai.b HEUR:Backdoor.Linux.Gafgyt.x HEUR:Exploit.Linux.CVE-2017-17215.a HEUR:Backdoor.Linux.Mirai.h
Status:
terminated
Behavior Graph:
%3 guuid=e05863b7-1a00-0000-8c3d-fffbcf080000 pid=2255 /usr/bin/sudo guuid=aac76aba-1a00-0000-8c3d-fffbd2080000 pid=2258 /tmp/sample.bin guuid=e05863b7-1a00-0000-8c3d-fffbcf080000 pid=2255->guuid=aac76aba-1a00-0000-8c3d-fffbd2080000 pid=2258 execve
Result
Threat name:
Detection:
malicious
Classification:
troj
Score:
96 / 100
Signature
Antivirus / Scanner detection for submitted sample
Connects to many ports of the same IP (likely port scanning)
Malicious sample detected (through community Yara rule)
Multi AV Scanner detection for submitted file
Uses dynamic DNS services
Yara detected Mirai
Behaviour
Behavior Graph:
behaviorgraph top1 dnsIp2 2 Behavior Graph ID: 1837415 Sample: frost.arm5.elf Startdate: 22/12/2025 Architecture: LINUX Score: 96 22 securecameoutgay.ddns.net 2->22 24 197.214.155.138 airtelcgCG Congo 2->24 26 99 other IPs or domains 2->26 28 Malicious sample detected (through community Yara rule) 2->28 30 Antivirus / Scanner detection for submitted sample 2->30 32 Multi AV Scanner detection for submitted file 2->32 36 2 other signatures 2->36 8 frost.arm5.elf 2->8         started        10 dash rm 2->10         started        12 dash rm 2->12         started        signatures3 34 Uses dynamic DNS services 22->34 process4 process5 14 frost.arm5.elf 8->14         started        process6 16 frost.arm5.elf 14->16         started        18 frost.arm5.elf 14->18         started        20 frost.arm5.elf 14->20         started       
Threat name:
Linux.Worm.Mirai
Status:
Malicious
First seen:
2025-12-22 05:54:08 UTC
File Type:
ELF32 Little (Exe)
AV detection:
19 of 24 (79.17%)
Threat level:
  5/5
Result
Malware family:
Score:
  10/10
Tags:
family:mirai botnet:botnet
Verdict:
Malicious
Tags:
botnet mirai trojan gafgyt Unix.Dropper.Mirai-7135965-0
YARA:
Mirai_Botnet_Malware Linux_Trojan_Gafgyt_28a2fe0c Linux_Trojan_Gafgyt_ea92cca8 Linux_Trojan_Mirai_0bce98a2 Linux_Gafgyt_May_2024
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:CVE_2017_17215
Author:NDA0E
Description:Detects exploitation attempt of CVE-2017-17215
Rule name:ELF_Mirai
Author:NDA0E
Description:Detects multiple Mirai variants
Rule name:linux_generic_ipv6_catcher
Author:@_lubiedo
Description:ELF samples using IPv6 addresses
Rule name:Linux_Generic_Threat_d94e1020
Author:Elastic Security
Rule name:Linux_Trojan_Gafgyt_28a2fe0c
Author:Elastic Security
Rule name:Linux_Trojan_Gafgyt_ea92cca8
Author:Elastic Security
Rule name:Linux_Trojan_Mirai_0bce98a2
Author:Elastic Security
Rule name:Mirai_Botnet_Malware
Author:Florian Roth (Nextron Systems)
Description:Detects Mirai Botnet Malware
Reference:Internal Research
Rule name:Mirai_Botnet_Malware_RID2EF6
Author:Florian Roth
Description:Detects Mirai Botnet Malware
Reference:Internal Research
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 4ef3d5c9a61d4c2ba274fc8d340262497e335f79588d3423be457e865ecc6698

(this sample)

  
Delivery method
Distributed via web download

Comments