103.234.99.115 Threat Intelligence - Hong Kong | IP Address Lookup

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General

IP Address
103.234.99.115
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS135357
HONG KONG KOWLOON TELECOMMUNICATIONS CO....
Threat Score
37/100
Medium Risk
abusebruteforcedigital oceanfraudindicator nameipqsipqualityscoremysql
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Noticed
5 times
Protocols Attacked
combined mysql
Countries Attacked
Australia
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS135357
Organization
HONG KONG KOWLOON TELECOMMUNICATIONS CO.,LIMITED
Network
AS135357 HONG KONG KOWLOON TELECOMMUNICATIONS CO.,LIMITED
WHOIS Information
inetnum
103.234.96.0 - 103.234.99.255
netname
HFSJ-HK
descr
RM AA?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?A?23/F COMM BLDG 145 HENNESSY RD HONG KONG
country
HK
org
ORG-FDTL1-AP
admin-c
FDTL1-AP
tech-c
FDTL1-AP
abuse-c
AH1120-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-HFSJ-HK
mnt-routes
MAINT-HFSJ-HK
mnt-irt
IRT-HFSJ-HK
last-modified
2020-09-22T13:31:35Z
irt
IRT-HFSJ-HK
address
Hong Kong. Mong Kok. 66 Tong Mi Road
e-mail
harry.soyx@gmail.com
abuse-mailbox
harry.soyx@gmail.com
organisation
ORG-FDTL1-AP
org-name
FORTUNE DATA TECHNOLOGY LIMITED
org-type
LIR
phone
+852-31884588
fax-no
+852-31884588
mnt-ref
APNIC-HM
Attack Logs
DateTarget LocationProtocolLink
2026-08-13 Digitaloceantoronto Combined Multiple View Log
2026-08-13 Digitaloceantoronto Mysql Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.234.99.115 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.