222.107.254.97 Threat Intelligence and Host Information

General

IP Address
222.107.254.97
IPv4 Address
Location
🇰🇷 Songpa-gu, South Korea
KR
Network
AS4766
Korea Telecom
Threat Score
45/100
Medium Risk
automatedbruteforcebrute-forcebruteforceBruteforceBrute-Forcecowrie
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
111
Geographic Location
Country
South Korea
City
Songpa-gu
Region
Seoul
Coordinates
37.5013, 127.1188
Network Information
ASN
AS4766
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
query
222.107.254.97
IPv4주소
222.107.254.0 - 222.107.254.255 (/24)
기관명
상상네트워크테크놀로지장춘리미티드
서비스명
KORNET
주소
서울특별시 강남구 도곡동
우편번호
135270
할당일자
20031110
이름
IP주소 담당자
전화번호
+82-2-500-6631
전자우편
kornet_ip@kt.com
네트워크 구분
CUSTOMER
할당내역 등록일
20260210
IPv4 Address
222.107.254.0 - 222.107.254.255 (/24)
Organization Name
Sangsangneteuwokeutekeunolrojijangchunrimitideu
Service Name
KORNET
Address
Dogok-Dong Gangnam-Gu Seoulteukbyeol-Si
Zip Code
135270
Registration Date
20260210
Name
IP Manager
Phone
+82-2-500-6631
E-Mail
kornet_ip@kt.com
Network Type
CUSTOMER
Attack Logs
Date Target Location Protocol Link
2026-05-22 Vultrtokyo SSH View Log

  • Country: South Korea
  • Network:
  • Noticed: 20 times
  • Protocols Attacked: ssh
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414

Disclaimer
This page contains threat intelligence information for the IPv4 address 222.107.254.97 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.