222.105.165.65 Threat Intelligence and Host Information

General

IP Address
222.105.165.65
IPv4 Address
Location
🇰🇷 Jeonju, South Korea
KR
Network
AS4766
Korea Telecom
Threat Score
35/100
Medium Risk
blacklistbotnetcowriedionaeaheraldinghoneytrapLAMPmalicious
Attack Intelligence
Open Ports Detected
10023
Geographic Location
Country
South Korea
City
Jeonju
Region
Jeollabuk-do
Coordinates
35.8237, 127.1476
Network Information
ASN
AS4766
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
query
222.105.165.65
IPv4주소
222.105.165.64 - 222.105.165.95 (/27)
기관명
(주) 케이티
서비스명
KORNET
주소
전라북도 정읍시 태인면
우편번호
580920
할당일자
20031110
이름
IP주소 담당자
전화번호
+82-2-500-6630
전자우편
kornet_ip@kt.com
네트워크 구분
CUSTOMER
할당내역 등록일
20201013
IPv4 Address
222.105.165.64 - 222.105.165.95 (/27)
Organization Name
KT
Service Name
KORNET
Address
Taein-Myeon Jeongeup-Si Jeonrabuk-Do
Zip Code
580920
Registration Date
20201013
Name
IP Manager
Phone
+82-2-500-6630
E-Mail
kornet_ip@kt.com
Network Type
CUSTOMER
Attack Logs
Date Target Location Protocol Link
2025-08-12 Warsaw, Poland TELNET View Log

  • Country: South Korea
  • Network:
  • Noticed: 9 times
  • Protocols Attacked: telnet
Disclaimer
This page contains threat intelligence information for the IPv4 address 222.105.165.65 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.