103.161.62.216 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.161.62.216
IPv4 Address
Location
🇮🇩 Indonesia
ID
Network
AS38156
PT. Union Routelink Communication
Threat Score
30/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1101121114325443465535877071993995
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS38156
Organization
PT. Union Routelink Communication
Network
AS38156 PT. Union Routelink Communication
WHOIS Information
inetnum
103.161.62.0 - 103.161.63.255
netname
Routelink
descr
PT. Union Routelink Communication
admin-c
BC543-AP
tech-c
BC543-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-lower
MAINT-ID-ROUTELINK
mnt-irt
IRT-IDNIC-ID
mnt-routes
MAINT-ID-ROUTELINK
status
ALLOCATED PORTABLE
last-modified
2021-01-04T03:13:34Z
irt
IRT-IDNIC-ID
address
INDONESIA NETWORK INFORMATION CENTER
e-mail
abuse@idnic.net
abuse-mailbox
abuse@idnic.net
person
Bambang Nur Cahyo
nic-hdl
BC543-AP
phone
+62 274 373207
fax-no
+62 274 373207
Attack Logs
DateTarget LocationProtocolLink
2026-09-04 Digitaloceantoronto Combined Multiple View Log
2026-09-04 Toronto, Canada SSH View Log
2026-09-03 Digitaloceantoronto Combined Multiple View Log
2026-09-03 Toronto, Canada SSH View Log
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Toronto, Canada SSH View Log
2026-09-01 Toronto, Canada SSH View Log
2026-09-01 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.161.62.216 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.