103.79.96.91 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.79.96.91
Location
🇮🇩 Indonesia
Network
AS64308
Threat Score
35/100
Attack Intelligence
Noticed
15 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1231701
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS64308
Organization
PT IndoDev Niaga Internet
Network
AS64308 PT IndoDev Niaga Internet
WHOIS Information
inetnum
103.79.96.0 - 103.79.96.255
netname
IDNIC-DATAON-ID
descr
PT IndoDev Niaga Internet
admin-c
HLT5-AP
tech-c
HLT5-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-DATAON-ID
mnt-routes
MAINT-ID-DATAON
status
ASSIGNED PORTABLE
last-modified
2016-11-16T08:58:09Z
irt
IRT-DATAON-ID
address
PT IndoDev Niaga Internet
e-mail
hostmaster@dataon.com
abuse-mailbox
abuse@dataon.com
person
Hendri L Tobing
phone
+62-21-22213077
nic-hdl
HLT5-AP
fax-no
+62-21-22213007
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 2026-09-03 | 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 |
| 2026-08-29 | 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 103.79.96.91 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.