172.104.165.234 Threat Intelligence and Host Information
Apr 07, 2024
ipinfopage
General
IP Address
172.104.165.234
Location
🇸🇬 Singapore, Singapore
Network
AS63949
Threat Score
45/100
Attack Intelligence
Open Ports Detected
5000
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3036, 103.8554
Network Information
ASN
AS63949
Organization
Linode, LLC
Network
AS63949 Linode, LLC
WHOIS Information
NetRange
172.104.0.0 - 172.105.146.255
CIDR
172.104.0.0/16, 172.105.146.0/24, 172.105.128.0/20, 172.105.144.0/23, 172.105.0.0/17
NetName
LINODE
NetHandle
NET-172-104-0-0-2
Parent
LINODE-US (NET-172-104-0-0-1)
NetType
Reassigned
OriginAS
AS63949, AS48337
Organization
Linode (LINOD)
RegDate
2008-04-24
Updated
2022-12-15
Comment
http://www.linode.com
Ref
https://rdap.arin.net/registry/entity/LINOD
OrgName
Linode
OrgId
LINOD
Address
249 Arch St
City
Philadelphia
StateProv
PA
PostalCode
19106
Country
US
OrgTechHandle
IPADM11-ARIN
OrgTechName
ipadmin
OrgTechPhone
+1-617-444-0017
OrgTechEmail
ip-admin@akamai.com
OrgTechRef
https://rdap.arin.net/registry/entity/IPADM11-ARIN
- Country: Singapore
- Network: AS63949 linode llc
- Noticed: 29 times
- Protocols Attacked: telnet
- Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
- Passive DNS Results: yeke.sb98.xyz bilsnote.site game.ayamsako.com access.geprekgroup.com geprekgroup.com ayamsako.com gepreksako.com
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2018-16845 CVE-2019-16905 CVE-2019-20372 CVE-2019-9511 CVE-2019-9513 CVE-2019-9516 CVE-2020-14145 CVE-2020-15778 CVE-2021-23017 CVE-2021-3618 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-44487 CVE-2023-48795 CVE-2023-51384 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 172.104.165.234 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.