MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 e21b7bea60a9530514cc047e69acc0a4f8fcd4aa0b0b740b44420536df8db05d. 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

Gafgyt

Vendor detections: 8

Intelligence 8 IOCs YARA 3 File information Comments

SHA256 hash:	e21b7bea60a9530514cc047e69acc0a4f8fcd4aa0b0b740b44420536df8db05d
SHA3-384 hash:	8c48aca9beeb12e558623b0fa92496046435304fb7be0b0e35239711a9cbd21a2173fc2c5a645ff3f8d455d170991a37
SHA1 hash:	216950561b3f0d8d5d8d93f0608b912d93c0ba11
MD5 hash:	8526b44220e0c103f843854638746dcc
humanhash:	winter-alaska-angel-mike
File name:	mips
Download:	download sample
Signature	Gafgyt Create hunting rule
File size:	97'332 bytes
First seen:	2026-01-28 15:07:41 UTC
Last seen:	2026-01-28 16:21:15 UTC
File type:	elf
MIME type:	application/x-executable
ssdeep	1536:3K/dK+HBEIhhft3/BOuBOMMOrC60Y00/UrFE4negijkWJCteu:a/dbJl3D5T/CE4zeml
TLSH	T14A93B71E6E218FBDF259C33547B74E31979833D626E1C685E2ACD2101E6034E685FFA8
telfhash	t1e921ac084d7422f057751d892aaeef77a6a030df4b326d378f11ec6daabd8824e00c0c
Magika	elf
Reporter	abuse_ch
Tags:	elf gafgyt mirai

Intelligence

File Origin

# of uploads :

# of downloads :

Origin country :

Vendor Threat Intelligence

No detections

Result

Verdict:

Malware

Maliciousness:

Verdict:

Likely Malicious

Threat level:

7.5/10

Confidence:

100%

Tags:

base64 bash lolbin mirai

Link:

https://www.filescan.io/uploads/697a266afcee87fc7ed939bb/reports/47b30840-b2a4-4a0d-a815-93575cc73371/overview

Verdict:

Malicious

Uses P2P?:

false

Uses anti-vm?:

false

Architecture:

mips

Packer:

not packed

Botnet:

unknown

Number of open files:

Number of processes launched:

Processes remaning?

false

Remote TCP ports scanned:

not identified

Full report:

https://elfdigest.com/brief/e21b7bea60a9530514cc047e69acc0a4f8fcd4aa0b0b740b44420536df8db05d

Behaviour

no suspicious findings

Botnet C2s

TCP botnet C2(s):

not identified

UDP botnet C2(s):

not identified

Result

Gathering data

Status:

terminated

Link:

https://sandbox.kunai.rocks/analysis/c92f23ce-5ea1-47c0-95f7-cbdd07a44255

Behavior Graph:

Download SVG

Verdict:

Unknown

Link:

https://analyze.intezer.com/analyses/3abe681e-40b3-4d25-a0dd-239e2101c3ea

Result

Threat name:

n/a

Detection:

malicious

Classification:

n/a

Score:

56 / 100

Link:

https://www.joesandbox.com/analysis/1859119

Signature

Antivirus / Scanner detection for submitted sample

Multi AV Scanner detection for submitted file

Behaviour

Behavior Graph:

Download SVG

Score:

100%

Verdict:

Malware

File Type:

ELF

Link:

https://malprob.io/report/e21b7bea60a9530514cc047e69acc0a4f8fcd4aa0b0b740b44420536df8db05d

Detection:

n/a

Link:

https://mwdb.cert.pl/sample/e21b7bea60a9530514cc047e69acc0a4f8fcd4aa0b0b740b44420536df8db05d/

Threat name:

Linux.Backdoor.Gafgyt

Status:

Malicious

First seen:

2026-01-28 15:08:32 UTC

File Type:

ELF32 Big (Exe)

AV detection:

10 of 36 (27.78%)

Threat level:

5/5

Detection(s):

Suspicious file

Link:

https://check.spamhaus.org/check/?searchterm=4inxx2tavfjqkfgmar7gtlgaut4pzvfkbmfxic2eiictnx4nwboq._file

Result

Malware family:

n/a

Score:

3/10

Tags:

discovery

Link:

https://tria.ge/reports/260128-sh37faey6f/

Behaviour

System Network Configuration Discovery

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:	ELF_Mirai Create hunting rule
Author:	NDA0E
Description:	Detects multiple Mirai variants

Rule name:	ELF_Toriilike_persist Create hunting rule
Author:	4r4
Description:	Detects Torii IoT Botnet (stealthier Mirai alternative)
Reference:	Identified via researched data