54.222.187.25 Threat Intelligence - China | IP Address Lookup

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General

IP Address
54.222.187.25
IPv4 Address
Location
🇨🇳 Beijing, China
CN
Network
AS55960
Beijing Guanghuan Xinwang Digital
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
mitre
Geographic Location
Country
China
City
Beijing
Region
Beijing
Coordinates
39.9110, 116.3950
Network Information
ASN
AS55960
Organization
Beijing Guanghuan Xinwang Digital
Network
AS55960 Beijing Guanghuan Xinwang Digital
WHOIS Information
NetRange
54.222.0.0 - 54.223.255.255
CIDR
54.222.0.0/15
NetName
APNIC-ERX-54-222-1
NetHandle
NET-54-222-0-0-1
Parent
NET54 (NET-54-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2013-04-09
Updated
2013-04-09
Ref
https://rdap.arin.net/registry/ip/54.222.0.0
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgTechHandle
AWC12-ARIN
OrgTechName
APNIC Whois Contact
OrgTechPhone
+61 7 3858 3188
OrgTechEmail
search-apnic-not-arin@apnic.net
OrgTechRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgAbuseHandle
AWC12-ARIN
OrgAbuseName
APNIC Whois Contact
Attack Logs
DateTarget LocationProtocolLink
2026-10-19 Cve 2021 42013 Attacker Ip List 2026 10 19 Multiple View Log
2026-10-19 Webexploit Mitre T1083 Ip List 2026 10 19 Multiple View Log
2026-10-19 Cve 2021 41773 Attacker Ip List 2026 10 19 Multiple View Log
2025-05-23 Cve 2024 4577 Attacker Ip List 2025 05 23 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 54.222.187.25 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.