122.102.41.195 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
122.102.41.195
Location
🇮🇩 East Jakarta, Indonesia
Network
AS38758
Threat Score
30/100
Attack Intelligence
Noticed
14 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
10443
Geographic Location
Country
Indonesia
City
East Jakarta
Region
Jakarta
Coordinates
-6.2599, 106.8767
Network Information
ASN
AS38758
Organization
PT. HIPERNET INDODATA
Network
AS38758 PT. HIPERNET INDODATA
WHOIS Information
inetnum
122.102.40.0 - 122.102.47.255
netname
HYPERNET-ID
descr
PT. Hipernet Indodata
country
ID
admin-c
OS40-AP
tech-c
OS39-AP
mnt-by
MNT-APJII-ID
mnt-lower
MAINT-ID-HYPERNET
mnt-routes
MAINT-ID-HYPERNET
mnt-irt
IRT-HYPERNET-ID
status
ALLOCATED PORTABLE
last-modified
2019-01-11T04:36:03Z
irt
IRT-HYPERNET-ID
address
PT. Hipernet Indodata
e-mail
abuse@hypernet.co.id
abuse-mailbox
abuse@hypernet.co.id
phone
+62-21-29393939
fax-no
+62-21-56949998
irt-nfy
sudino@hypernet.co.id
person
Oei Sudino
nic-hdl
OS39-AP
route
122.102.40.0/21
origin
AS38758
notify
core@hypernet.co.id
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | 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 |
| 2026-08-31 | 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 122.102.41.195 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.