36.68.27.67 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
36.68.27.67
Location
🇮🇩 Pekanbaru, Indonesia
Network
AS7713
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Indonesia
City
Pekanbaru
Region
Riau
Coordinates
0.5365, 101.4371
Network Information
ASN
AS7713
Organization
PT Telekomunikasi Indonesia
Network
AS7713 PT Telekomunikasi Indonesia
WHOIS Information
inetnum
36.68.16.0 - 36.68.31.255
netname
TLKM_BB_SERVICE_36_68_DIVRE1
descr
PT TELKOM INDONESIA
country
ID
admin-c
AR165-AP
tech-c
HM444-AP
abuse-c
AI598-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-TELKOMNET
mnt-irt
IRT-IDTELKOM-ID
last-modified
2021-01-26T22:07:15Z
irt
IRT-IDTELKOM-ID
address
PT. TELKOM INDONESIA
e-mail
abuse@telkom.co.id
abuse-mailbox
abuse@telkom.co.id
role
ABUSE IDTELKOMID
phone
+000000000
nic-hdl
AI598-AP
fax-no
+62-21-3861215
notify
hostmaster@telkom.net.id
person
PT Telkom Indonesia Hostmaster
route
36.68.24.0/21
origin
AS7713
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-24 | Webexploit Mitre T1593 Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-24 | Webexploit Fake Googlebot Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-21 | Webexploit Mitre T1593 Ip List 2026 10 21 | Multiple | View Log |
| 2026-10-21 | Webexploit Fake Googlebot Ip List 2026 10 21 | Multiple | View Log |
| 2026-07-16 | Webexploit Mitre T1593 Ip List 2026 07 16 | Multiple | View Log |
| 2026-07-16 | Webexploit Fake Googlebot Ip List 2026 07 16 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 36.68.27.67 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.