103.164.12.3 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.164.12.3
IPv4 Address
Location
🇮🇩 West Jakarta, Indonesia
ID
Network
AS141898
PT Milenial Inti Telekomunikasi
Threat Score
45/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
11011211222538944352225269707177808443993995
Geographic Location
Country
Indonesia
City
West Jakarta
Region
Jakarta
Coordinates
-6.2167, 106.7316
Network Information
ASN
AS141898
Organization
PT Milenial Inti Telekomunikasi
Network
AS141898 PT Milenial Inti Telekomunikasi
Associated CVEs
WHOIS Information
inetnum
103.164.12.0 - 103.164.13.255
netname
MILENETWORK-ID
descr
PT Milenial Inti Telekomunikasi
admin-c
JP1533-AP
tech-c
JP1533-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-MILENETWORK-ID
mnt-routes
MAINT-ID-MILENETWORK
status
ALLOCATED PORTABLE
last-modified
2022-04-04T04:17:23Z
irt
IRT-MILENETWORK-ID
address
MILENIAL INTI TELKOMUNIKASI
e-mail
jihad@milenetwork.co.id
abuse-mailbox
abuse@mailnetwork.co.id
person
Jihad Permada
phone
+62 813-9759-5911
nic-hdl
JP1533-AP
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 103.164.12.3 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.