103.218.243.181 Threat Intelligence - Hong Kong | IP Address Lookup

Share on:

General

IP Address
103.218.243.181
IPv4 Address
Location
🇭🇰 Hong Kong, Hong Kong
HK
Network
AS135377
UCLOUD INFORMATION TECHNOLOGY (HK) LIMIT...
Threat Score
50/100
Medium Risk
BruteforceBrute-ForcecowriesshSSH
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Noticed
11 times
Protocols Attacked
mitre
Passive DNS
m.cindasc.info
Open Ports Detected
223389
Geographic Location
Country
Hong Kong
City
Hong Kong
Region
Unknown
Coordinates
22.2842, 114.1759
Network Information
ASN
AS135377
Organization
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
Network
AS135377 UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
WHOIS Information
inetnum
103.218.243.0 - 103.218.243.255
netname
UCLOUD-HK
descr
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
country
HK
admin-c
UITH2-AP
tech-c
UITH2-AP
abuse-c
AU164-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-UCLOUD-HK
mnt-irt
IRT-UCLOUD-HK
last-modified
2024-08-26T12:36:40Z
irt
IRT-UCLOUD-HK
address
FLAT/RM 603 6/F, LAWS COMMERCIAL PLAZA, 788 CHEUNG SHA WAN ROAD, KL,, Hong Kong
e-mail
pn-wan@ucloud.cn
abuse-mailbox
hegui@ucloud.cn
role
ABUSE UCLOUDHK
phone
+000000000
nic-hdl
AU164-AP
notify
hegui@ucloud.cn
route
103.218.243.0/24
origin
AS135377
Attack Logs
DateTarget LocationProtocolLink
2026-10-19 Cve 2024 32114 Attacker Ip List 2026 10 19 Multiple View Log
2026-10-19 Webexploit Mitre T1190 Ip List 2026 10 19 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.218.243.181 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.