156.230.214.201 Threat Intelligence and Host Information

General

IP Address
156.230.214.201
IPv4 Address
Location
🇭🇰 Hong Kong
HK
Network
AS399626
GROUP-IID-002
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
3128
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS399626
Organization
GROUP-IID-002
Network
AS399626 GROUP-IID-002
WHOIS Information
NetRange
156.230.0.0 - 156.230.255.255
CIDR
156.230.0.0/16
NetName
AFRINIC-ERX-156-230-0-0
NetHandle
NET-156-230-0-0-1
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: Anonymous Proxy

CVEs Detected

CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-46848 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824 CVE-2024-23638 CVE-2024-25111 CVE-2024-25617 CVE-2024-37894 CVE-2024-45802 CVE-2025-54574 CVE-2025-59362 CVE-2025-62168 CVE-2026-32748 CVE-2026-33515 CVE-2026-33526

Disclaimer
This page contains threat intelligence information for the IPv4 address 156.230.214.201 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.