159.138.87.225 Threat Intelligence - Singapore | IP Address Lookup

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General

IP Address
159.138.87.225
IPv4 Address
Location
πŸ‡ΈπŸ‡¬ Singapore, Singapore
SG
Network
AS136907
HUAWEI CLOUDS
Threat Score
35/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
7 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
253894434655878443993995
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.2872, 103.8507
Network Information
ASN
AS136907
Organization
HUAWEI CLOUDS
Network
AS136907 HUAWEI CLOUDS
WHOIS Information
NetRange
159.138.0.0 - 159.138.255.255
CIDR
159.138.0.0/16
NetName
APNIC
NetHandle
NET-159-138-0-0-1
Parent
NET159 (NET-159-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2017-11-16
Updated
2017-11-16
Ref
https://rdap.arin.net/registry/ip/159.138.0.0
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
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Toronto, Canada SSH View Log
2026-09-01 Toronto, Canada SSH View Log
2026-09-01 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 159.138.87.225 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.