156.255.128.144 Threat Intelligence and Host Information
Feb 18, 2026
ipinfopage
General
IP Address
156.255.128.144
Location
🇭🇰 Central, Hong Kong
Network
AS136800
Threat Score
10/100
Geographic Location
Country
Hong Kong
City
Central
Region
Central and Western District
Coordinates
22.2908, 114.1501
Network Information
ASN
AS136800
Organization
Sun Network Hong Kong Limited - HongKong Backbone
Network
AS136800 Sun Network Hong Kong Limited - HongKong Backbone
WHOIS Information
NetRange
156.255.0.0 - 156.255.255.255
CIDR
156.255.0.0/16
NetName
AFRINIC-ERX-156-255-0-0
NetHandle
NET-156-255-0-0-1
Parent
NET156 (NET-156-0-0-0-0)
NetType
Transferred to AfriNIC
OriginAS
Organization
African Network Information Center (AFRINIC)
RegDate
2004-05-17
Updated
2015-05-04
Comment
The African & Indian Ocean Internet Registry
Ref
https://rdap.arin.net/registry/entity/AFRINIC
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Lot 19, Cybercity
City
Ebene
StateProv
PostalCode
Country
MU
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
OrgAbuseEmail
abusepoc@afrinic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
- Country: Hong Kong
- Network:
- Noticed: 1 times
- Protocols Attacked: SSH
- Passive DNS Results: jayandbee.com otaoya.com wjfybj.com gyrz59j.top j62lbnl.top l62qbnj.top zc5q5zm.top ymg781b.top q62pbny.top raanat.com goldcek.com
Malware Detected on Host
Count: 3 eac3ca0eda0c0bf99a8e1aea7ff5f5882ef5626650fdcf408dc86fc42ff0c1a3 96877934f163673d6a536f1929bab9a608a5744f37a8f2fd7bdd6f1f4b40e626 38d06d72be6d619cca307abd1bb13cbe3c22a8861d4bf8d5b749341ec2f8e4cb
Disclaimer
This page contains threat intelligence information for the IPv4 address 156.255.128.144 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.