MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617. 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 2 File information Comments
Download sample Add tag Delete this sample Report a False Positive

SHA256 hash: 79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617
SHA3-384 hash: 6e7e2f969d91bafa3fe1c0b1007224c186003811122ac6fc60301ee2dbc509ce36f748e9904aedf33a6cee7e54713eed
SHA1 hash: 766772b509f8ac51bfa15d44f62cc382963d25b9
MD5 hash: c4fd2ad1fe208cfd249b6cca74bd1fea
humanhash: thirteen-summer-venus-speaker
File name:jklarm7
Download: download sample
Signature Mirai
Create hunting rule
File size:117'128 bytes
First seen:2026-01-21 13:47:56 UTC
Last seen:Never
File type: elf
MIME type:application/x-executable
ssdeep 3072:H38SqnBXrW2EpWfYy3viCLrZnz6RHRo6cjHZJAVWZaZPT2:GrG1y6CLrGHRo6cj5JAVMa
TLSH T111B309CABC818B11D6D565BAFE0F518D33134B78E3FA7103DE145B2A678A86B0E3B541
telfhash t14bc02b02ff82308c77f5042500f819198be8f8cc33304d0204541b538d714437105903
Magika elf
Reporter abuse_ch
Tags:elf mirai

Intelligence

File Origin
# of uploads :
1
# of downloads :
58
Origin country :
DE DE
Vendor Threat Intelligence
No detections
Detection(s):
Sanesecurity.Malware.31075.LX.BOT.UNOFFICIAL
Create hunting rule

Unix.Trojan.Mirai-7755770-0
Create hunting rule

Unix.Trojan.Mirai-9885259-0
Create hunting rule

Unix.Trojan.Mirai-10008934-0
Create hunting rule

Unix.Trojan.Gafgyt-6735924-0
Create hunting rule

Verdict:
Malicious
Uses P2P?:
false
Uses anti-vm?:
false
Architecture:
arm
Packer:
not packed
Botnet:
unknown
Number of open files:
51
Number of processes launched:
3
Processes remaning?
false
Remote TCP ports scanned:
23
Full report:
https://elfdigest.com/brief/79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617
Behaviour
Information Gathering
Botnet C2s
TCP botnet C2(s):
not identified
UDP botnet C2(s):
not identified
Verdict:
Malicious
File Type:
elf.32.le
First seen:
2026-01-21T11:01:00Z UTC
Last seen:
2026-01-21T12:05:00Z UTC
Hits:
~10
Detections:
HEUR:Backdoor.Linux.Mirai.jw HEUR:Backdoor.Linux.Mirai.gen HEUR:Backdoor.Linux.Gafgyt.go
Link:
https://opentip.kaspersky.com/79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617/results?tab=lookup
Status:
terminated
Link:
https://sandbox.kunai.rocks/analysis/7783c0ff-43cf-44dc-ad3e-3d0f49b1c588
Behavior Graph:
Download SVG
%3 guuid=7f9a50b4-1b00-0000-552f-8210800b0000 pid=2944 /usr/bin/sudo guuid=86a420b6-1b00-0000-552f-8210840b0000 pid=2948 /tmp/sample.bin guuid=7f9a50b4-1b00-0000-552f-8210800b0000 pid=2944->guuid=86a420b6-1b00-0000-552f-8210840b0000 pid=2948 execve
Malware family:
Mirai
Create hunting rule
Verdict:
Malicious
Link:
https://analyze.intezer.com/analyses/0072b280-7bc9-4176-90fe-02aaf40da102
Result
Threat name:
Mirai
Create hunting rule
Detection:
malicious
Classification:
troj
Score:
56 / 100
Link:
https://www.joesandbox.com/analysis/1854937
Signature
Multi AV Scanner detection for submitted file
Yara detected Mirai
Behaviour
Behavior Graph:
Download SVG
behaviorgraph top1 dnsIp2 2 Behavior Graph ID: 1854937 Sample: jklarm7.elf Startdate: 21/01/2026 Architecture: LINUX Score: 56 16 107.25.250.87, 23 WAYPORTUS United States 2->16 18 90.186.240.5 VODANETInternationalIP-BackboneofVodafoneDE Germany 2->18 20 100 other IPs or domains 2->20 22 Multi AV Scanner detection for submitted file 2->22 24 Yara detected Mirai 2->24 8 jklarm7.elf 2->8         started        signatures3 process4 process5 10 jklarm7.elf 8->10         started        process6 12 jklarm7.elf 10->12         started        14 jklarm7.elf 10->14         started       
Score:
100%
Verdict:
Malware
File Type:
ELF
Link:
https://malprob.io/report/79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617
Detection:
mirai
Create hunting rule
Link:
https://mwdb.cert.pl/sample/79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617/
Verdict:
Malicious
Threat:
Family.MIRAI
Link:
https://tip.neiki.dev/file/79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617
Threat name:
Linux.Backdoor.Mirai
Create hunting rule
Status:
Malicious
First seen:
2026-01-21 13:49:33 UTC
File Type:
ELF32 Little (Exe)
AV detection:
14 of 36 (38.89%)
Threat level:
  5/5
Detection(s):
Suspicious file
Link:
https://check.spamhaus.org/check/?searchterm=pgju7xukd4pc4fqaw7xdqryl5wxstdgqvyxiuo4jglzbhbb6eylq._file
Result
Malware family:
n/a
Score:
  9/10
Tags:
credential_access discovery
Link:
https://tria.ge/reports/260121-q4d4bsfz2e/
Behaviour
Reads runtime system information
Reads process memory
Renames itself
Contacts a large (65189) amount of remote hosts
Creates a large amount of network flows
Please note that we are no longer able to provide a coverage score for Virus Total.
Threat name:
Legit
Score:
0.00
Link:
https://yomi.yoroi.company/submissions/79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617

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:Linux_Generic_Threat_8299c877
Create hunting rule
Author:Elastic Security
Rule name:unixredflags3
Create hunting rule
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 79934fde8a1f1e2e1600b7ee38470bedaf298cd0ae2e8a3b8932f213843e2617

(this sample)

  
URLhaus
https://urlhaus.abuse.ch/url/3738855/
  
Delivery method
Distributed via web download
  
URLhaus
https://urlhaus.abuse.ch/url/3739152/
  
URLhaus
https://urlhaus.abuse.ch/url/3739233/
  
URLhaus
https://urlhaus.abuse.ch/url/3739149/

Comments