121.78.124.7 Threat Intelligence and Host Information

General

IP Address
121.78.124.7
IPv4 Address
Location
🇰🇷 South Korea
KR
Network
AS17589
GABIA Inc.
Threat Score
35/100
Medium Risk
BlocklistbruteforceBruteforceBrute-Forcecowriedionaeafatthoneytrap
Geographic Location
Country
South Korea
City
Unknown
Region
Unknown
Coordinates
37.5112, 126.9741
Network Information
ASN
AS17589
Organization
GABIA Inc.
Network
AS17589 GABIA Inc.
WHOIS Information
inetnum
121.78.0.0 - 121.78.255.255
netname
KINXINC-KR
descr
KINX
country
KR
admin-c
MI443-KR
tech-c
MI443-KR
status
ALLOCATED PORTABLE
mnt-by
MNT-KRNIC-AP
mnt-irt
IRT-KRNIC-KR
last-modified
2025-11-24T08:06:01Z
irt
IRT-KRNIC-KR
address
13, Daelim Acrotel
e-mail
noc@kinx.net
abuse-mailbox
irt@nic.or.kr
person
IP Manager
phone
+82-2-580-4601
nic-hdl
MI443-KR
changed
hostmaster@nic.or.kr 20240912
Attack Logs
Date Target Location Protocol Link
2026-06-18 Vultrtokyo SSH View Log

  • Country: South Korea
  • Network:
  • Noticed: 8 times
  • Protocols Attacked: ssh
  • Countries Attacked: China, Finland, France, Germany, Poland, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Disclaimer
This page contains threat intelligence information for the IPv4 address 121.78.124.7 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.