222.98.122.37 Threat Intelligence and Host Information

General

IP Address
222.98.122.37
IPv4 Address
Location
🇰🇷 Suwon, South Korea
KR
Network
AS4766
Korea Telecom
Threat Score
55/100
High Risk
Brute-ForceBruteforceSSHbruteforcecowrierdpssh
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110 - Brute Force, T1110.004 - Credential Stuffing
Open Ports Detected
1883
Geographic Location
Country
South Korea
City
Suwon
Region
Gyeonggi-do
Coordinates
37.2872, 127.0116
Network Information
ASN
AS4766
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
query
222.98.122.37
IPv4주소
222.98.122.32 - 222.98.122.63 (/27)
기관명
(주) 케이티
서비스명
KORNET
주소
경기도 성남시 분당구 불정로 90
우편번호
13606
할당일자
20031110
이름
IP주소 담당자
전화번호
+82-2-500-6630
전자우편
kornet_ip@kt.com
네트워크 구분
CUSTOMER
할당내역 등록일
20210915
IPv4 Address
222.98.122.32 - 222.98.122.63 (/27)
Organization Name
Korea Telecom
Service Name
KORNET
Address
90 Buljeongro Bundang-Gu Seongnam-Si Gyeonggi-Do
Zip Code
13606
Registration Date
20210915
Name
IP Manager
Phone
+82-2-500-6630
E-Mail
kornet_ip@kt.com
Network Type
CUSTOMER
Attack Logs
Date Target Location Protocol Link
2023-08-29 Toronto, Canada SSH View Log

  • Country: South Korea
  • Network: AS4766 korea telecom
  • Noticed: 1 times
  • Protcols Attacked: ssh
  • Countries Attacked: Australia

CVEs Detected

CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408

Disclaimer
This page contains threat intelligence information for the IPv4 address 222.98.122.37 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.