156.234.43.228 Threat Intelligence - Hong Kong | IP Address Lookup
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General
IP Address
156.234.43.228
Location
ðŸ‡ðŸ‡° Hong Kong, Hong Kong
Network
AS138415
Threat Score
40/100
Attack Intelligence
Noticed
6 times
Protocols Attacked
combined portscan
Passive DNS
wen.dhazbaeang.icu
Open Ports Detected
809999
Geographic Location
Country
Hong Kong
City
Hong Kong
Region
Unknown
Coordinates
22.2842, 114.1759
Network Information
ASN
AS138415
Organization
Yancy Limited
Network
AS138415 Yancy Limited
WHOIS Information
NetRange
156.234.0.0 - 156.234.255.255
CIDR
156.234.0.0/16
NetName
AFRINIC-ERX-156-234-0-0
NetHandle
NET-156-234-0-0-1
Parent
NET156 (NET-156-0-0-0-0)
NetType
Transferred to AfriNIC
Organization
African Network Information Center (AFRINIC)
RegDate
2010-11-03
Updated
2010-11-17
Comment
This IP address range is under AFRINIC responsibility.
Ref
https://rdap.arin.net/registry/ip/156.234.0.0
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Level 11ABC
City
Ebene
Country
MU
OrgTechHandle
GENER11-ARIN
OrgTechName
Generic POC
OrgTechPhone
+230 4666616
OrgTechEmail
abusepoc@afrinic.net
OrgTechRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-05 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-05 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Vultrtokyo Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 156.234.43.228 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.