103.150.114.203 Threat Intelligence - Indonesia | IP Address Lookup

Share on:

General

IP Address
103.150.114.203
IPv4 Address
Location
🇮🇩 West Jakarta, Indonesia
ID
Network
AS17995
PT iForte Global Internet
Threat Score
30/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
17 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
170125465587993995
Geographic Location
Country
Indonesia
City
West Jakarta
Region
Jakarta
Coordinates
-6.1810, 106.7739
Network Information
ASN
AS17995
Organization
PT iForte Global Internet
Network
AS17995 PT iForte Global Internet
WHOIS Information
inetnum
103.150.114.0 - 103.150.114.255
netname
SOLUSINET-ID
descr
PT iForte Global Internet
country
ID
admin-c
IR59-AP
tech-c
IR59-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-ID-SOLUSINET
mnt-irt
IRT-SOLUSINET-ID
mnt-lower
MAINT-ID-SOLUSINET
mnt-routes
MAINT-ID-SOLUSINET
last-modified
2020-12-09T02:50:44Z
irt
IRT-SOLUSINET-ID
address
PT iForte Global Internet
e-mail
hostmaster@iforte.co.id
abuse-mailbox
hostmaster@iforte.co.id
person
Irvan Rianto
phone
+62-21-23586320
nic-hdl
IR59-AP
fax-no
+62-21-23586321
route
103.150.114.0/23
origin
AS17995
Attack Logs
DateTarget LocationProtocolLink
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
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 103.150.114.203 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.