103.227.144.52 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.227.144.52
Location
🇮🇩 Jakarta, Indonesia
Network
AS141671
Threat Score
35/100
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
44346553587993995
Geographic Location
Country
Indonesia
City
Jakarta
Region
Jakarta
Coordinates
-6.2121, 106.8319
Network Information
ASN
AS141671
Organization
PT Samudera Kilat Indonesia
Network
AS141671 PT Samudera Kilat Indonesia
WHOIS Information
inetnum
103.227.144.0 - 103.227.147.255
netname
ZEUSS-ID
descr
PT Samudera Kilat Indonesia
admin-c
DS1558-AP
tech-c
DS1558-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-routes
MAINT-ID-ZEUSS
mnt-irt
IRT-ZEUSS-ID
status
ALLOCATED PORTABLE
mnt-lower
MAINT-ID-ZEUSS
last-modified
2022-09-08T08:40:54Z
irt
IRT-ZEUSS-ID
address
ZEUSS PT.Samudera Kilat Indonesia The Boulevard Lt.6 Unit B1-B2 Jl.Fachrudin No.5 Jakarta Pusat 10250
e-mail
noc@zeuss.id
abuse-mailbox
abuse@zeuss.id
person
Didi Setiadi
phone
+62-21-40005232
nic-hdl
DS1558-AP
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 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 |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.227.144.52 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.