103.187.215.237 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.187.215.237
IPv4 Address
Location
🇮🇩 Indonesia
ID
Network
AS133817
PT Inti Data Telematika
Threat Score
35/100
Medium Risk
Aggressive-Detectionbrute-forcebruteforceBruteforceBrute-ForceConnection-Resetcrowdsecdigital ocean
Attack Intelligence
Noticed
17 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
11014322389443465587707180993995
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS133817
Organization
PT Inti Data Telematika
Network
AS133817 PT Inti Data Telematika
WHOIS Information
inetnum
103.187.214.0 - 103.187.215.255
netname
IDNIC-SHASTA-ID
descr
PT Shasta Adhijaya
admin-c
ATS7-AP
tech-c
ATS7-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-lower
MAINT-ID-INTINET
mnt-irt
IRT-INTINET-ID
mnt-routes
MAINT-ID-INTINET
status
ALLOCATED PORTABLE
last-modified
2022-05-19T08:55:32Z
irt
IRT-INTINET-ID
address
SHASTA ADHI JAYA
e-mail
agus.tri@shasta.co.id
abuse-mailbox
abuse@shasta.co.id
person
Agus Tri Susanto
phone
+62-811-2977776
nic-hdl
ATS7-AP
fax-no
+62-31-8722337
Attack Logs
DateTarget LocationProtocolLink
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
2026-08-31 Digitaloceantoronto Combined Multiple View Log
2026-08-31 Toronto, Canada SSH View Log
2026-08-30 Toronto, Canada SSH View Log
2026-08-30 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.187.215.237 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.