222.87.110.212 Threat Intelligence and Host Information

General

IP Address
222.87.110.212
IPv4 Address
Location
🇨🇳 Beijing, China
CN
Network
AS4134
Chinanet
Threat Score
45/100
Medium Risk
awsindiaawsjapbruteforcecybersecurityiocmaliciousNextray
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
China
City
Beijing
Region
Beijing
Coordinates
39.9075, 116.3972
Network Information
ASN
AS4134
Organization
Chinanet
Network
AS4134 Chinanet
WHOIS Information
inetnum
222.87.110.0 - 222.87.123.255
netname
CHINANET-GZ
country
CN
descr
GuiZhou
admin-c
DL72-AP
tech-c
DL72-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-CHINANET-GUIZHOU
last-modified
2021-03-10T06:36:56Z
person
dan lu
nic-hdl
DL72-AP
e-mail
xull10@chinatelecom.cn
address
550001 china
phone
+86-851-6861469
fax-no
+86-851-6857020
Attack Logs
Date Target Location Protocol Link
2022-03-23 Awsindia-Redis MULTIPLE View Log

  • Country: China
  • Network:
  • Noticed: 50 times
  • Protocols Attacked: redis
  • Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, India, Japan, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
  • Passive DNS Results: www.jylbzl.cn

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 222.87.110.212 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.