103.243.24.124 Threat Intelligence and Host Information
Apr 02, 2026
ipinfopage
General
IP Address
103.243.24.124
Location
🇭🇰 Hong Kong
Network
AS55933
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1595 - Active Scanning
Open Ports Detected
22
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS55933
Organization
Cloudie Limited
Network
AS55933 Cloudie Limited
WHOIS Information
inetnum
103.243.24.0 - 103.243.24.255
netname
MAINT-HVISCL-HK
descr
HongKong Virtual Internal Server Company Limited
country
HK
geoloc
22.335066 114.19588
admin-c
HVIS1-AP
tech-c
HVIS1-AP
abuse-c
AH1080-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-HVISCL-HK
mnt-irt
IRT-HVISCL-HK
last-modified
2015-06-22T18:05:28Z
irt
IRT-HVISCL-HK
address
UnitE15, 3/F., Wing Tat Commercial Building, 97 Bonham Strand East, Sheung Wan, Hong Kong
e-mail
TimothyRottly@hlvps.net
abuse-mailbox
TimothyRottly@hlvps.net
role
ABUSE HVISCLHK
phone
+852.59321902
nic-hdl
TR233-AP
person
Timothy Rottly
route
103.243.24.0/22
origin
AS134121
notify
admin@zz23.com
mnt-lower
MAINT-HVISCL-HK
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-04-02 | Vultrparis | SSH | View Log |
- Country: Hong Kong
- Network:
- Noticed: 6 times
- Protocols Attacked: portscan ssh
- Countries Attacked: Australia
- Passive DNS Results: miyue20.vip wap.hb-cmb.com
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-6387 CVE-2025-26465 CVE-2025-32728
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.243.24.124 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.