221.7.195.43 Threat Intelligence and Host Information

General

IP Address
221.7.195.43
IPv4 Address
Location
🇨🇳 Nanning, China
CN
Network
AS4837
CHINA UNICOM China169 Backbone
Threat Score
45/100
Medium Risk
agentalertbruteforcecinsactivecowriedshieldblock
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
China
City
Nanning
Region
Guangxi
Coordinates
22.8108, 108.3165
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
221.7.128.0 - 221.7.255.255
netname
UNICOM-GX
descr
CNC Group CHINA169 Guangxi Province Network
country
CN
admin-c
CH1302-AP
tech-c
CH1302-AP
abuse-c
AC1718-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNCGROUP-RR
mnt-lower
MAINT-CNCGROUP-GX
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2008-09-04T07:54:44Z
irt
IRT-CU-CN
address
44,Xinghu Road,Xingcheng District,Nanning,CHINA
e-mail
nnlhy@gxcc.com.cn
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+86-771-2597426
nic-hdl
LH602-AP
person
liu huanyi
fax-no
+86-771-2522019
route
221.7.128.0/17
origin
AS4837
Attack Logs
Date Target Location Protocol Link
2026-03-14 Vultrparis TELNET View Log

  • Country: China
  • Network:
  • Noticed: 7 times
  • Protocols Attacked: portscan telnet

CVEs Detected

CVE-2007-2768 CVE-2008-3844 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 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728

Disclaimer
This page contains threat intelligence information for the IPv4 address 221.7.195.43 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.