36.94.25.170 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
36.94.25.170
Location
🇮🇩 Central Jakarta, Indonesia
Network
AS7713
Threat Score
33/100
Attack Intelligence
Noticed
4 times
Protocols Attacked
combined ssh
Open Ports Detected
1701172353808728
Geographic Location
Country
Indonesia
City
Central Jakarta
Region
Jakarta
Coordinates
-6.1788, 106.8285
Network Information
ASN
AS7713
Organization
PT Telekomunikasi Indonesia
Network
AS7713 PT Telekomunikasi Indonesia
Associated CVEs
WHOIS Information
inetnum
36.64.0.0 - 36.95.255.255
netname
TELKOMNET
descr
PT Telekomunikasi Indonesia
country
ID
org
ORG-TI10-AP
admin-c
AZ163-AP
tech-c
FS370-AP
abuse-c
AI598-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-TELKOMNET
mnt-routes
MAINT-TELKOMNET
mnt-irt
IRT-IDTELKOM-ID
last-modified
2020-07-29T13:14:29Z
irt
IRT-IDTELKOM-ID
address
PT. TELKOM INDONESIA
e-mail
abuse@telkom.co.id
abuse-mailbox
abuse@telkom.co.id
organisation
ORG-TI10-AP
org-name
Telekomunikasi Indonesia (PT)
org-type
LIR
phone
+62-21-3447070
fax-no
+62-21-3861215
mnt-ref
APNIC-HM
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-15 | Vultrtokyo | SSH | View Log |
| 2026-10-14 | Vultrtokyo Combined | Multiple | View Log |
| 2026-10-14 | Vultrtokyo | SSH | View Log |
| 2026-10-13 | Vultrtokyo | SSH | View Log |
| 2026-10-13 | Vultrtokyo Combined | Multiple | View Log |
| 2026-10-12 | Vultrtokyo | SSH | View Log |
| 2026-10-12 | Vultrtokyo Combined | Multiple | View Log |
| 2026-10-11 | Vultrtokyo Combined | Multiple | View Log |
| 2026-10-11 | Vultrtokyo | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 36.94.25.170 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.