117.50.119.132 Threat Intelligence - China | IP Address Lookup

General

IP Address
117.50.119.132
IPv4 Address
Location
🇨🇳 China
CN
Network
AS9808
China Mobile Communications Group Co., L...
Threat Score
45/100
Medium Risk
2026-012026-02attacker-ipautomatedAutomatedBlocklistbrute forcebruteforce
Attack Intelligence
MITRE ATT&CK Techniques
T1110.001 - Password Guessing, T1110.003 - Password Spraying, T1110 - Brute Force
Noticed
9 times
Protocols Attacked
SSH
Countries Attacked
Australia, China, Finland, France, Germany, Poland, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Open Ports Detected
808888
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS9808
Organization
China Mobile Communications Group Co., Ltd.
Network
AS9808 China Mobile Communications Group Co., Ltd.
WHOIS Information
inetnum
117.50.0.0 - 117.50.255.255
netname
UCLOUD-NET
descr
Shanghai UCloud Information Technology Company Limited
country
CN
admin-c
JJ2197-AP
tech-c
JJ2197-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNNIC-AP
mnt-irt
IRT-UCLOUD-NET-CN
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNNIC-AP
last-modified
2023-11-28T00:56:57Z
irt
IRT-UCLOUD-NET-CN
address
2nd Floor 3rd Building No.200 EAST Guoding Road,Yangpu District,Shanghai
e-mail
jacky.jia@ucloud.cn
abuse-mailbox
jacky.jia@ucloud.cn
role
ABUSE CNNICCN
phone
+000000000
nic-hdl
AC1601-AP
person
Jinhui Jia
Attack Logs
DateTarget LocationProtocolLink
2026-07-22 Perth, Australia Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 117.50.119.132 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.