110.249.202.8 Threat Intelligence - China | IP Address Lookup

General

IP Address
110.249.202.8
IPv4 Address
Location
🇨🇳 Beijing, China
CN
Network
AS4837
CHINA UNICOM China169 Backbone
Threat Score
45/100
Medium Risk
auto-blockedcloudflarecountry-cncountry-usdugganusaip-onlyssl-enrichmentthreat-intel
Attack Intelligence
MITRE ATT&CK Techniques
T1071.001 - Web Protocols, T1105 - Ingress Tool Transfer, T1573.002 - Asymmetric Cryptography
Noticed
7 times
Protocols Attacked
web
Countries Attacked
Argentina, Australia, Azerbaijan, Bangladesh, Belgium, Brazil, Canada, China, Colombia, Czechia, Dominican Republic, Finland, France, Georgia, Germany, Hong Kong, India, Indonesia, Iraq, Ireland, Isra...
Geographic Location
Country
China
City
Beijing
Region
Beijing
Coordinates
39.9075, 116.3972
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
110.240.0.0 - 110.255.255.255
netname
UNICOM-HE
descr
China Unicom Hebei province network
country
CN
admin-c
CH1302-AP
tech-c
KL984-AP
abuse-c
AC1718-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-CNCGROUP
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2023-10-21T03:38:51Z
irt
IRT-CU-CN
address
No.21,Financial Street
e-mail
zhaoyz3@chinaunicom.cn
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+000000000
nic-hdl
AC1718-AP
person
ChinaUnicom Hostmaster
fax-no
+86-10-66259764
route
110.240.0.0/12
origin
AS4837
Attack Logs
DateTarget LocationProtocolLink
2026-07-29 Cfglobal Web Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 110.249.202.8 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.