118.46.28.173 Threat Intelligence and Host Information

General

IP Address
118.46.28.173
IPv4 Address
Location
🇰🇷 Eumseong-gun, South Korea
KR
Network
AS4766
Korea Telecom
Threat Score
70/100
High Risk
attackcowriecybersecurityiocloginmaliciousNextray
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Open Ports Detected
8008
Geographic Location
Country
South Korea
City
Eumseong-gun
Region
North Chungcheong
Coordinates
36.9280, 127.6840
Network Information
ASN
AS4766
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
query
118.46.28.173
IPv4주소
118.46.28.128 - 118.46.28.255 (/25)
기관명
충북본부장
서비스명
KORNET
주소
충청북도 진천군 백곡면
우편번호
365810
할당일자
20070803
이름
IP주소 담당자
전화번호
+82-2-500-6631
전자우편
kornet_ip@kt.com
네트워크 구분
CUSTOMER
할당내역 등록일
20220726
IPv4 Address
118.46.28.128 - 118.46.28.255 (/25)
Organization Name
Chungbukbonbujang
Service Name
KORNET
Address
Baekgok-Myeon Jincheon-Gun Chungcheongbuk-Do
Zip Code
365810
Registration Date
20220726
Name
IP Manager
Phone
+82-2-500-6631
E-Mail
kornet_ip@kt.com
Network Type
CUSTOMER
Attack Logs
Date Target Location Protocol Link
2023-01-16 Vultrmadrid SSH View Log

  • Country: South Korea
  • Network:
  • Noticed: 50 times
  • Protocols Attacked: ssh
  • Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
Disclaimer
This page contains threat intelligence information for the IPv4 address 118.46.28.173 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.