203.251.55.197 Threat Intelligence and Host Information
Apr 06, 2025
ipinfopage
General
IP Address
203.251.55.197
Location
🇰🇷 Gwangju, South Korea
Network
AS4766
Threat Score
65/100
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
111
Geographic Location
Country
South Korea
City
Gwangju
Region
Gwangju
Coordinates
35.1496, 126.9156
Network Information
ASN
AS4766
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
query
203.251.55.197
IPv4주소
203.251.55.192 - 203.251.55.223 (/27)
기관명
(주) 케이티
서비스명
KORNET
주소
경기도 성남시 분당구 불정로 90(KT본사)
우편번호
13606
할당일자
19941201
이름
IP주소 담당자
전화번호
+82-2-500-6630
전자우편
kornet_ip@kt.com
네트워크 구분
CUSTOMER
할당내역 등록일
20210721
IPv4 Address
203.251.55.192 - 203.251.55.223 (/27)
Organization Name
Korea Telecom
Service Name
KORNET
Address
(Ktbonsa)90 Buljeongro Bundang-Gu Seongnam-Si Gyeonggi-Do
Zip Code
13606
Registration Date
20210721
Name
IP Manager
Phone
+82-2-500-6630
E-Mail
kornet_ip@kt.com
Network Type
CUSTOMER
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-04-06 | Perth, Australia | MULTIPLE | View Log |
- Country: South Korea
- Network:
- Noticed: 5 times
- Protocols Attacked: SSH
- Countries Attacked: Australia
CVEs Detected
CVE-2007-3205 CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2220 CVE-2013-2765 CVE-2013-4365 CVE-2021-3618 CVE-2022-4900 CVE-2023-44487 CVE-2024-25117 CVE-2024-5458
Disclaimer
This page contains threat intelligence information for the IPv4 address 203.251.55.197 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.