221.161.142.86 Threat Intelligence and Host Information

General

IP Address
221.161.142.86
IPv4 Address
Location
🇰🇷 Busanjin-gu, South Korea
KR
Network
AS4766
Korea Telecom
Threat Score
45/100
Medium Risk
bruteforcedigitaloceanportscanscannerssshvultr
Attack Intelligence
Open Ports Detected
111
Geographic Location
Country
South Korea
City
Busanjin-gu
Region
Busan
Coordinates
35.1659, 129.0542
Network Information
ASN
AS4766
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
query
221.161.142.86
IPv4주소
221.161.142.0 - 221.161.142.255 (/24)
기관명
주식회사 케이티
서비스명
KORNET
주소
부산광역시 연제구 입암면 진남로 608
우편번호
47607
할당일자
20030418
이름
IP주소 담당자
전화번호
+82-2-500-6630
전자우편
kornet_ip@kt.com
네트워크 구분
CUSTOMER
할당내역 등록일
20240910
IPv4 Address
221.161.142.0 - 221.161.142.255 (/24)
Organization Name
KT
Service Name
KORNET
Address
608 Jinnamro Ipam-Myeon Yeonje-Gu Busangwangyeok-Si
Zip Code
47607
Registration Date
20240910
Name
IP Manager
Phone
+82-2-500-6630
E-Mail
kornet_ip@kt.com
Network Type
CUSTOMER
Attack Logs
Date Target Location Protocol Link
2026-03-23 Singapore SSH View Log

  • Country: South Korea
  • Network:
  • Noticed: 5 times
  • Protocols Attacked: portscan ssh

CVEs Detected

CVE-2004-1653 CVE-2005-2666 CVE-2005-2798 CVE-2006-0225 CVE-2006-0883 CVE-2006-4924 CVE-2006-5051 CVE-2006-5052 CVE-2006-5794 CVE-2007-2243 CVE-2007-2768 CVE-2007-4752 CVE-2008-3259 CVE-2008-3844 CVE-2008-4109 CVE-2010-4478 CVE-2010-4755 CVE-2010-5107 CVE-2011-4327 CVE-2011-5000 CVE-2012-0814 CVE-2014-1692 CVE-2014-2532 CVE-2014-2653 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-6387

Disclaimer
This page contains threat intelligence information for the IPv4 address 221.161.142.86 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.