103.144.246.2 Threat Intelligence - Hong Kong | IP Address Lookup

General

IP Address
103.144.246.2
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS138152
YISU CLOUD LTD
Threat Score
0/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
Anonymous Proxy
Open Ports Detected
137
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS138152
Organization
YISU CLOUD LTD
Network
AS138152 YISU CLOUD LTD
WHOIS Information
inetnum
103.144.246.0 - 103.144.247.255
netname
XKVPS-HK
descr
HK XINKAI TECHNOLOGY CO LIMITED
country
HK
org
ORG-HXTC2-AP
admin-c
HXTC2-AP
tech-c
HXTC2-AP
abuse-c
AX91-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-XKVPS-HK
mnt-routes
MAINT-XKVPS-HK
mnt-irt
IRT-XKVPS-HK
last-modified
2020-05-20T13:03:53Z
irt
IRT-XKVPS-HK
address
RM 2914C 29/F HO KING COMM CTR 2-16 FA YUEN ST MONGKOK KL, HONGKONG HONGKONG 999077
e-mail
1936800570@qq.com
abuse-mailbox
1936800570@qq.com
organisation
ORG-HXTC2-AP
org-name
HK XINKAI TECHNOLOGY CO LIMITED
org-type
LIR
phone
+852-6700-2065
fax-no
+852-6700-2065
mnt-ref
APNIC-HM
Attack Logs
DateTarget LocationProtocolLink
2026-07-21 Perth, Australia Proxy View Log
2026-07-20 Perth, Australia Proxy View Log
2026-07-19 Perth, Australia Proxy View Log
2026-07-18 Perth, Australia Proxy View Log
2026-07-17 Perth, Australia Proxy View Log
2026-07-16 Perth, Australia Proxy View Log
2025-11-19 Singapore SSH View Log
2024-07-09 Frankfurt, Germany SSH View Log
2022-06-23 Dofrank SSH View Log
2022-06-21 Paris, France SSH View Log
Additional Intelligence
Threat Feeds / IP Sets
  • haley_ssh
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.144.246.2 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.