103.96.72.171 Threat Intelligence - Hong Kong | IP Address Lookup
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General
IP Address
103.96.72.171
Location
ðŸ‡ðŸ‡° Hong Kong
Network
AS24544
Threat Score
0/100
Attack Intelligence
Protocols Attacked
mitre
Passive DNS
pingjiao.19832023.xyz
Open Ports Detected
22330644380
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS24544
Organization
Law's Cloud Infrastructure Limited
Network
AS24544 Law's Cloud Infrastructure Limited
Associated CVEs
WHOIS Information
inetnum
103.96.72.0 - 103.96.75.255
netname
HCPTL-HK
descr
Room1405,14/F Lucky Centre 171 Wanchai road, Wanchai
country
HK
geoloc
22.335066 114.19588
org
ORG-HCPT1-AP
admin-c
HCPT1-AP
tech-c
HCPT1-AP
abuse-c
AH968-AP
status
ASSIGNED PORTABLE
mnt-by
APNIC-HM
mnt-routes
MAINT-HCPTL-HK
mnt-irt
IRT-HCPTL-HK
last-modified
2020-07-07T04:57:09Z
irt
IRT-HCPTL-HK
address
Room1405,14/F Lucky Centre 171 Wanchai road, Wanchai, HongKong
e-mail
timothyrottly@hlvps.net
abuse-mailbox
timothyrottly@hlvps.net
organisation
ORG-HCPT1-AP
org-name
HongKong Cloud plus technology limited
org-type
LIR
phone
+852-95193148
mnt-ref
APNIC-HM
role
ABUSE HCPTLHK
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Cve 2021 42013 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Webexploit Mitre T1083 Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2021 41773 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2025-07-03 | Cve 2024 4577 Attacker Ip List 2025 07 03 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.96.72.171 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.