106.251.50.73 Threat Intelligence - South Korea | IP Address Lookup

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General

IP Address
106.251.50.73
IPv4 Address
Location
🇰🇷 Seocho-gu, South Korea
KR
Network
AS3786
LG DACOM Corporation
Threat Score
55/100
High Risk
Aggressive-Detectionbrute forcebruteforceBruteforceBrute-ForceConnection-Resetcowriemalware
Attack Intelligence
MITRE ATT&CK Techniques
T1005 - Data from Local System, T1016 - System Network Configuration Discovery, T1041 - Exfiltration Over C2 Channel, T1046 - Network Service Scanning, T1050 - New Service, T1057 - Process Discovery, T1059 - Command and Scripting Interpreter, T1069 - Permission Groups Discovery, T1082 - System Information Discovery, T1083 - File and Directory Discovery, T1087 - Account Discovery, T1105 - Ingress Tool Transfer, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1213 - Data from Information Repositories, T1512 - Capture Camera, T1539 - Steal Web Session Cookie, T1592 - Gather Victim Host Information, T1595 - Active Scanning
Noticed
10 times
Protocols Attacked
combined ssh
Countries Attacked
Australia
Geographic Location
Country
South Korea
City
Seocho-gu
Region
Seoul
Coordinates
37.4803, 127.0302
Network Information
ASN
AS3786
Organization
LG DACOM Corporation
Network
AS3786 LG DACOM Corporation
WHOIS Information
inetnum
106.240.0.0 - 106.255.255.255
netname
BORANET
descr
LG DACOM Corporation
admin-c
IM646-AP
tech-c
IM646-AP
country
KR
status
ALLOCATED PORTABLE
mnt-by
MNT-KRNIC-AP
mnt-irt
IRT-KRNIC-KR
last-modified
2017-02-03T00:55:03Z
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
IM646-AP
changed
hostmaster@nic.or.kr 20240912
Attack Logs
DateTarget LocationProtocolLink
2026-09-25 Vultrtokyo Combined Multiple View Log
2026-09-25 Vultrtokyo SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 106.251.50.73 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.