135.87.39.23 Threat Intelligence - United States | IP Address Lookup

General

IP Address
135.87.39.23
IPv4 Address
Location
🇺🇸 United States
US
Network
AS10455
LUCENT-CIO
Threat Score
22/100
Low Risk
attacker-ipautomatedscannervoidtrap
Attack Intelligence
Noticed
1 time
Protocols Attacked
Anonymous Proxy
Open Ports Detected
44380808088009443
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS10455
Organization
LUCENT-CIO
Network
AS10455 LUCENT-CIO
WHOIS Information
NetRange
135.87.0.0 - 135.87.255.255
CIDR
135.87.0.0/16
NetName
NOKIA
NetHandle
NET-135-87-0-0-1
Parent
NET135 (NET-135-0-0-0-0)
NetType
Direct Allocation
Organization
Nokia of America Corporation (NAC-178)
RegDate
1996-04-30
Updated
2026-03-16
Ref
https://rdap.arin.net/registry/ip/135.87.0.0
OrgName
Nokia of America Corporation
OrgId
NAC-178
Address
600 Mountain Avenue- 6G 216
City
Murray Hill
StateProv
NJ
PostalCode
07974
Country
US
OrgTechHandle
JPV6-ARIN
OrgTechName
Vayrynen, Jari Pekka
OrgTechPhone
+358504830793
OrgTechEmail
jari.vayrynen@nokia.com
OrgTechRef
https://rdap.arin.net/registry/entity/JPV6-ARIN
OrgAbuseHandle
NIRMAC-ARIN
OrgAbuseName
Nokia Internet Registry Management Abuse Contact
Attack Logs
DateTarget LocationProtocolLink
2026-07-24 Perth, Australia Proxy View Log
2026-07-23 Perth, Australia Proxy View Log
2026-07-21 Perth, Australia Proxy View Log
2026-07-20 Perth, Australia Proxy View Log
2026-07-19 Perth, Australia Proxy View Log
2026-07-18 Perth, Australia Proxy View Log
2026-07-17 Perth, Australia Proxy View Log
2026-07-16 Perth, Australia Proxy View Log
2026-07-13 Perth, Australia Proxy View Log
2026-07-12 Perth, Australia Proxy View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 135.87.39.23 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.