121.137.120.14 Threat Intelligence and Host Information
Aug 25, 2024
ipinfopage
General
IP Address
121.137.120.14
IPv4 Address
Location
🇰🇷 Hwaseong-si, South Korea
KR
Network
AS4766
Korea Telecom
Threat Score
15/100
Low Risk
Geographic Location
Coordinates
37.2072, 126.8168
Network Information
Organization
Korea Telecom
Network
AS4766 Korea Telecom
WHOIS Information
IPv4주소
121.137.120.0 - 121.137.120.255 (/24)
IPv4 Address
121.137.120.0 - 121.137.120.255 (/24)
Organization Name
Sudogwongangnambonbujang
Address
Gwonseon-Gu Suwon-Si Gyeonggi-Do
Registration Date
20150317
- Country: South Korea
- Network: AS4766 korea telecom
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2007-2768
CVE-2008-3844
CVE-2012-5643
CVE-2014-7141
CVE-2014-7142
CVE-2015-5400
CVE-2016-10002
CVE-2016-20012
CVE-2016-2390
CVE-2016-3947
CVE-2016-4051
CVE-2016-4052
CVE-2016-4053
CVE-2016-4054
CVE-2016-4553
CVE-2016-4554
CVE-2016-4555
CVE-2016-4556
CVE-2018-15473
CVE-2018-15919
CVE-2018-19131
CVE-2018-19132
CVE-2018-20685
CVE-2019-12519
CVE-2019-12520
CVE-2019-12521
CVE-2019-12522
CVE-2019-12523
CVE-2019-12524
CVE-2019-12526
CVE-2019-12528
CVE-2019-12529
CVE-2019-13345
CVE-2019-18676
CVE-2019-18677
CVE-2019-18678
CVE-2019-18679
CVE-2019-18860
CVE-2019-6109
CVE-2019-6110
CVE-2019-6111
CVE-2020-11945
CVE-2020-14058
CVE-2020-14145
CVE-2020-15049
CVE-2020-15778
CVE-2020-15810
CVE-2020-15811
CVE-2020-24606
CVE-2020-25097
CVE-2020-8449
CVE-2020-8450
CVE-2020-8517
CVE-2021-28116
CVE-2021-28651
CVE-2021-28652
CVE-2021-31806
CVE-2021-31807
CVE-2021-31808
CVE-2021-33620
CVE-2021-36368
CVE-2021-41617
CVE-2021-46784
CVE-2022-41318
CVE-2023-38408
CVE-2023-46728
CVE-2023-46846
CVE-2023-48795
CVE-2023-49285
CVE-2023-49286
CVE-2023-50269
CVE-2023-51385
CVE-2023-51767
CVE-2023-5824
Disclaimer
This page contains threat intelligence information for the IPv4 address 121.137.120.14 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.