103.20.219.5 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.20.219.5
Location
🇮🇩 Indonesia
Network
AS149968
Threat Score
35/100
Attack Intelligence
Noticed
11 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
110143254655877071993995
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS149968
Organization
Diskominfo Kabupaten Humbang Hasundutan
Network
AS149968 Diskominfo Kabupaten Humbang Hasundutan
WHOIS Information
inetnum
103.20.219.0 - 103.20.219.255
netname
IDNIC-KOMINFOHUMBAHAS-ID
descr
Diskominfo Kabupaten Humbang Hasundutan
admin-c
JS4499-AP
tech-c
JS4499-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-KOMINFOHUMBAHAS-ID
mnt-routes
MAINT-ID-KOMINFOHUMBAHAS
status
ASSIGNED PORTABLE
last-modified
2022-08-12T03:12:38Z
irt
IRT-KOMINFOHUMBAHAS-ID
address
Dinas Komunikasi dan Informatika Kabupaten Humbang Hasundutan
e-mail
diskominfo@humbanghasundutankab.go.id
abuse-mailbox
diskominfo@humbanghasundutankab.go.id
person
Jimmy Silalahi
phone
+62-81252493675
nic-hdl
JS4499-AP
route
103.20.219.0/24
origin
AS149968
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 |
| 2026-08-28 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.20.219.5 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.