112.158.102.108 Threat Intelligence - South Korea | IP Address Lookup

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General

IP Address
112.158.102.108
IPv4 Address
Location
🇰🇷 Suwon, South Korea
KR
Network
AS17858
LG POWERCOMM
Threat Score
40/100
Medium Risk
Aggressive-Detectionattacker-ipautomatedbruteforceBruteforceBrute-ForceConnection-Resetdigital ocean
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
15 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
330690909100995
Geographic Location
Country
South Korea
City
Suwon
Region
Gyeonggi-do
Coordinates
37.2872, 126.9734
Network Information
ASN
AS17858
Organization
LG POWERCOMM
Network
AS17858 LG POWERCOMM
WHOIS Information
inetnum
112.144.0.0 - 112.159.255.255
netname
Xpeed
descr
LG POWERCOMM
admin-c
IM669-AP
tech-c
IM669-AP
country
KR
status
ALLOCATED PORTABLE
mnt-by
MNT-KRNIC-AP
mnt-irt
IRT-KRNIC-KR
last-modified
2017-02-02T01:32:05Z
irt
IRT-KRNIC-KR
address
9, Jinheung-gil, Naju-si, Jeollanam-do
e-mail
irt@nic.or.kr
abuse-mailbox
irt@nic.or.kr
person
IP Manager
phone
+82-2-1-01
nic-hdl
IM669-AP
changed
hostmaster@nic.or.kr 20240912
Attack Logs
DateTarget LocationProtocolLink
2026-08-21 Vultrmelbournetest SSH View Log
2026-08-21 Vultrtokyo Combined Multiple View Log
2026-08-21 Vultrtokyo SSH View Log
2026-08-21 Toronto, Canada SSH View Log
2026-08-21 Digitaloceantoronto Combined Multiple View Log
2026-08-21 Vultrmelbournetest Combined Multiple View Log
2026-08-20 Vultrtokyo Combined Multiple View Log
2026-08-20 Vultrtokyo SSH View Log
2026-08-11 Toronto, Canada SSH View Log
2026-08-11 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 112.158.102.108 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.