154.37.223.234 Threat Intelligence and Host Information

General

IP Address
154.37.223.234
IPv4 Address
Location
🇭🇰 Hong Kong, Hong Kong
HK
Network
AS979
NetLab Global
Threat Score
31/100
Medium Risk
cowriedigitaloceandionaeafatthoneytrapmailoneyp0f
Attack Intelligence
Open Ports Detected
10000
Geographic Location
Country
Hong Kong
City
Hong Kong
Region
Unknown
Coordinates
22.2842, 114.1759
Network Information
ASN
AS979
Organization
NetLab Global
Network
AS979 NetLab Global
WHOIS Information
inetnum
154.37.0.0 - 154.37.255.255
netname
NET-154-37-0-0
descr
__________________________
country
MU
org
ORG-AFNC1-AFRINIC
admin-c
CA15-AFRINIC
tech-c
CA15-AFRINIC
status
ALLOCATED UNSPECIFIED
mnt-by
AFRINIC-DB-MNT
parent
154.0.0.0 - 154.255.255.255
organisation
ORG-AFNC1-AFRINIC
org-name
African Network Information Center - (AfriNIC) Ltd
org-type
RIR
address
Mauritius
phone
tel:+230-403-5100
mnt-ref
AFRINIC-DB-MNT
role
AfriNIC TEAM
fax-no
tel:+230-466-6758
nic-hdl
TEAM-AFRINIC
Attack Logs
Date Target Location Protocol Link
2026-08-29 Digitaloceantoronto-Combined MULTIPLE View Log

  • Country: Hong Kong
  • Network:
  • Noticed: 3 times
  • Protocols Attacked: combined portscan
Disclaimer
This page contains threat intelligence information for the IPv4 address 154.37.223.234 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.