139.162.108.129 Threat Intelligence and Host Information

General

IP Address
139.162.108.129
IPv4 Address
Location
🇯🇵 Tokyo, Japan
JP
Network
AS63949
Linode, LLC
Threat Score
40/100
Medium Risk
kfsensorrdpscannerssh
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Japan
City
Tokyo
Region
Tokyo
Coordinates
35.6893, 139.6899
Network Information
ASN
AS63949
Organization
Linode, LLC
Network
AS63949 Linode, LLC
WHOIS Information
NetRange
139.162.0.0 - 139.162.255.255
CIDR
139.162.0.0/16
NetName
RIPE-ERX-139-162-0-0
NetHandle
NET-139-162-0-0-1
Parent
NET139 (NET-139-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
OriginAS
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
Updated
2013-07-29
Ref
https://rdap.arin.net/registry/entity/RIPE
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
StateProv
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN

  • Country: Japan
  • Network:
  • Noticed: 34 times
  • Protocols Attacked: SSH
  • Passive DNS Results: scan-32.security.ipip.net

Malware Detected on Host

Count: 1 c966f13620d1ee43b911717e0eb12298cd6e4d3320eb40996f4e4abb1659c88f

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728

Disclaimer
This page contains threat intelligence information for the IPv4 address 139.162.108.129 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.