160.16.108.10 Threat Intelligence - Japan | IP Address Lookup

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General

IP Address
160.16.108.10
IPv4 Address
Location
🇯🇵 Tokyo, Japan
JP
Network
AS9370
SAKURA Internet Inc.
Threat Score
30/100
Medium Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
exit
Passive DNS
project.junglehuman.net
Open Ports Detected
2227017809090
Geographic Location
Country
Japan
City
Tokyo
Region
Tokyo
Coordinates
35.6893, 139.6899
Network Information
ASN
AS9370
Organization
SAKURA Internet Inc.
Network
AS9370 SAKURA Internet Inc.
Associated CVEs
WHOIS Information
NetRange
160.11.0.0 - 160.18.255.255
CIDR
160.12.0.0/14, 160.18.0.0/16, 160.16.0.0/15, 160.11.0.0/16
NetName
APNIC
NetHandle
NET-160-11-0-0-1
Parent
NET160 (NET-160-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2016-09-02
Updated
2016-09-02
Ref
https://rdap.arin.net/registry/ip/160.11.0.0
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
2026-08-17 Tor Exit Node Ip List 2026 08 17 Multiple View Log
2026-08-16 Tor Exit Node Ip List 2026 08 16 Multiple View Log
2026-08-15 Tor Exit Node Ip List 2026 08 15 Multiple View Log
Additional Intelligence
Tor Exit Node
Yes
Disclaimer
This page contains threat intelligence information for the IPv4 address 160.16.108.10 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.