160.16.125.228 Threat Intelligence and Host Information

General

IP Address
160.16.125.228
IPv4 Address
Location
🇯🇵 Tokyo, Japan
JP
Network
AS9370
SAKURA Internet Inc.
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
110
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.
WHOIS Information
NetRange
160.11.0.0 - 160.18.255.255
CIDR
160.11.0.0/16, 160.12.0.0/14, 160.18.0.0/16, 160.16.0.0/15
NetName
APNIC
NetHandle
NET-160-11-0-0-1
Parent
NET160 (NET-160-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
OriginAS
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
Updated
2012-01-24
Ref
https://rdap.arin.net/registry/entity/APNIC
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgAbuseHandle
AWC12-ARIN
OrgAbuseName
APNIC Whois Contact
OrgAbusePhone
+61 7 3858 3188
OrgAbuseEmail
search-apnic-not-arin@apnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgTechHandle
AWC12-ARIN

CVEs Detected

CVE-2009-1390 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2017-3735 CVE-2017-3736 CVE-2017-3737 CVE-2017-3738 CVE-2018-0732 CVE-2018-0734 CVE-2018-0737 CVE-2018-0739 CVE-2018-5407 CVE-2019-1547 CVE-2019-1551 CVE-2019-1552 CVE-2019-1559 CVE-2019-1563 CVE-2020-1968 CVE-2020-1971 CVE-2021-23840 CVE-2021-23841 CVE-2021-3712 CVE-2021-4160 CVE-2022-0778 CVE-2022-1292 CVE-2022-2068 CVE-2022-4304 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-2650 CVE-2023-3817 CVE-2023-5678 CVE-2024-0727

Disclaimer
This page contains threat intelligence information for the IPv4 address 160.16.125.228 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.