103.142.215.27 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.142.215.27
IPv4 Address
Location
🇮🇩 Indonesia
ID
Network
AS139383
PT. INDONESIA BISNIS DIGITAL
Threat Score
35/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
44358780993995
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS139383
Organization
PT. INDONESIA BISNIS DIGITAL
Network
AS139383 PT. INDONESIA BISNIS DIGITAL
WHOIS Information
inetnum
103.142.214.0 - 103.142.215.255
netname
IDNIC-INDOBSD-ID
descr
PT. INDONESIA BISNIS DIGITAL
admin-c
AR688-AP
tech-c
AR688-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-INDOBSD-ID
mnt-routes
MAINT-ID-INDOBSD
status
ASSIGNED PORTABLE
last-modified
2019-09-05T08:16:21Z
irt
IRT-INDOBSD-ID
address
PT. INDONESIA BISNIS DIGITAL
e-mail
hostmaster@indobsd.id
abuse-mailbox
abuse@indobsd.id
person
Angky Ris
phone
+62-21-2934-9555
nic-hdl
AR688-AP
fax-no
+62-21-2934-9301
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
2026-08-28 Digitaloceantoronto Combined Multiple View Log
2026-08-28 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.142.215.27 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.