103.121.20.18 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.121.20.18
Location
🇮🇩 Depok, Indonesia
Network
AS63859
Threat Score
35/100
Attack Intelligence
Noticed
11 times
Protocols Attacked
combined portscan ssh
Passive DNS
zenicone.smtel.co.id
Open Ports Detected
123161170117234434655358780993995
Geographic Location
Country
Indonesia
City
Depok
Region
West Java
Coordinates
-6.3921, 106.8101
Network Information
ASN
AS63859
Organization
PT. Eka Mas Republik
Network
AS63859 PT. Eka Mas Republik
WHOIS Information
inetnum
103.121.20.0 - 103.121.20.255
netname
MYREPUBLIC-ID
descr
PT. Eka Mas Republik
country
ID
admin-c
MIH5-AP
tech-c
HG1005-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-ID-MYREPUBLIC
mnt-irt
IRT-MYREPUBLIC-ID
mnt-lower
MAINT-ID-MYREPUBLIC
mnt-routes
MAINT-ID-MYREPUBLIC
last-modified
2018-08-14T07:46:48Z
irt
IRT-MYREPUBLIC-ID
address
PT. Eka Mas Republik
e-mail
abuse-id@myrepublic.net.id
abuse-mailbox
abuse-id@myrepublic.net.id
person
Hendra Gunawan
phone
+62-21-24155508
nic-hdl
HG1005-AP
fax-no
+62-21-3912127
route
103.121.20.0/24
origin
AS63859
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | 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 |
| 2026-08-29 | 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 103.121.20.18 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.