MalwareBazaar Database

You are currently viewing the MalwareBazaar entry for SHA256 a4cfa37f00adfa76d1a57267fb6ac37933e3a37950eb5380ec3c5cb3669e84a2. 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: 9


Intelligence 9 IOCs YARA 1 File information Comments

SHA256 hash: a4cfa37f00adfa76d1a57267fb6ac37933e3a37950eb5380ec3c5cb3669e84a2
SHA3-384 hash: 7edec2cc1b0c95a244fdca5556927b16d44b4c2e8b817cfdaab80aeaf170c5b67e96f74c0a281cb277a3f68b9d7a4119
SHA1 hash: 3589d6f93fb309ae2b0636fec19b8fa7c92b713b
MD5 hash: cb734870c069e105619beec3e88bdabe
humanhash: music-florida-illinois-triple
File name:jklmips
Download: download sample
Signature Mirai
File size:105'484 bytes
First seen:2025-12-25 23:31:29 UTC
Last seen:2025-12-26 18:41:53 UTC
File type: elf
MIME type:application/x-executable
ssdeep 3072:ZWH+HhF3u/nfcMlynwWKaijUgKDROLT2W:ZC+Hn+InwFjUg2wr
TLSH T1DBA3C71A6E559F7DF76C823687F78E20A75833D236F0C645E26CE9005E6034D681FBA8
telfhash t1ea117c58843823f0e7b21cee6becef76d45170db46255e378e10e969da2d9028e00c2c
Magika elf
Reporter abuse_ch
Tags:elf mirai

Intelligence


File Origin
# of uploads :
3
# of downloads :
77
Origin country :
DE DE
Vendor Threat Intelligence
No detections
Verdict:
Likely Malicious
Threat level:
  7.5/10
Confidence:
100%
Tags:
mirai
Verdict:
Malicious
File Type:
elf.32.be
First seen:
2025-12-25T19:22:00Z UTC
Last seen:
2025-12-25T19:51:00Z UTC
Hits:
~10
Status:
terminated
Behavior Graph:
%3 guuid=cfd39a19-1700-0000-9ee5-d2c11e0d0000 pid=3358 /usr/bin/sudo guuid=f2e2eb1b-1700-0000-9ee5-d2c1240d0000 pid=3364 /tmp/sample.bin guuid=cfd39a19-1700-0000-9ee5-d2c11e0d0000 pid=3358->guuid=f2e2eb1b-1700-0000-9ee5-d2c1240d0000 pid=3364 execve
Result
Threat name:
n/a
Detection:
malicious
Classification:
troj
Score:
52 / 100
Signature
Connects to many IPs within the same subnet mask (likely port scanning)
Multi AV Scanner detection for submitted file
Behaviour
Behavior Graph:
behaviorgraph top1 dnsIp2 2 Behavior Graph ID: 1839497 Sample: jklmips.elf Startdate: 26/12/2025 Architecture: LINUX Score: 52 18 59.0.120.123, 23 KIXS-AS-KRKoreaTelecomKR Korea Republic of 2->18 20 59.0.128.214, 23 KIXS-AS-KRKoreaTelecomKR Korea Republic of 2->20 22 100 other IPs or domains 2->22 24 Multi AV Scanner detection for submitted file 2->24 26 Connects to many IPs within the same subnet mask (likely port scanning) 2->26 8 jklmips.elf 2->8         started        signatures3 process4 process5 10 jklmips.elf 8->10         started        process6 12 jklmips.elf 10->12         started        14 jklmips.elf 10->14         started        16 jklmips.elf 10->16         started       
Threat name:
Linux.Worm.Mirai
Status:
Malicious
First seen:
2025-12-25 23:32:16 UTC
File Type:
ELF32 Big (Exe)
AV detection:
15 of 24 (62.50%)
Threat level:
  5/5
Result
Malware family:
n/a
Score:
  9/10
Tags:
credential_access discovery
Behaviour
Reads runtime system information
System Network Configuration Discovery
Changes its process name
Reads system network configuration
Reads process memory
Enumerates active TCP sockets
Enumerates running processes
Renames itself
Contacts a large (19989) amount of remote hosts
Creates a large amount of network flows
Verdict:
Malicious
Tags:
Unix.Trojan.Mirai-7755770-0
YARA:
n/a
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: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 a4cfa37f00adfa76d1a57267fb6ac37933e3a37950eb5380ec3c5cb3669e84a2

(this sample)

  
Delivery method
Distributed via web download

Comments