103.66.94.203 Threat Intelligence - China | IP Address Lookup

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General

IP Address
103.66.94.203
IPv4 Address
Location
🇨🇳 China
CN
Network
AS55933
Cloudie Limited
Threat Score
38/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanProtocol-Probingssh
Attack Intelligence
Noticed
4 times
Protocols Attacked
combined ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
2001820040200502005320060200702008020082201062012120150201512018220200202022020820256203252051220547
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS55933
Organization
Cloudie Limited
Network
AS55933 Cloudie Limited
Associated CVEs
WHOIS Information
inetnum
103.66.92.0 - 103.66.95.255
netname
YTCL-CN
descr
RM D, 12/F, Xinhai building ,
country
CN
org
ORG-YTCL4-AP
admin-c
YTTC1-AP
tech-c
YTTC1-AP
abuse-c
AY463-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-YTCL-CN
mnt-routes
MAINT-YTCL-CN
mnt-irt
IRT-YTCL-CN
last-modified
2020-06-22T12:52:41Z
irt
IRT-YTCL-CN
address
12D, Xinhai Mansion, No351, The liberation of South Road, Hexi District, Tianjin, Tianjin CHINA
e-mail
276627166@qq.com
abuse-mailbox
276627166@qq.com
organisation
ORG-YTCL4-AP
org-name
Yuanwang Technology (Tianjin) Co. Ltd.
org-type
LIR
phone
+86 022 28230162
mnt-ref
APNIC-HM
role
ABUSE YTCLCN
Attack Logs
DateTarget LocationProtocolLink
2026-08-20 Vultrtokyo Combined Multiple View Log
2026-08-20 Vultrtokyo SSH View Log
2026-08-08 Toronto, Canada SSH View Log
2026-08-08 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.66.94.203 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.