202.10.63.2 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
202.10.63.2
Location
🇮🇩 Indonesia
Network
AS55653
Threat Score
27/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Open Ports Detected
16117012000538291
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS55653
Organization
Skyline Semesta, PT
Network
AS55653 Skyline Semesta, PT
WHOIS Information
inetnum
202.10.32.0 - 202.10.63.255
netname
BOLEH-NET
descr
FAJAR INFORMASI GLOBALNET JAYA, PT
country
ID
admin-c
WW77-AP
tech-c
WW77-AP
mnt-by
MNT-APJII-ID
mnt-irt
IRT-IDNIC-ID
mnt-lower
MNT-APJII-ID
status
ALLOCATED PORTABLE
last-modified
2024-04-04T09:14:29Z
irt
IRT-IDNIC-ID
address
INDONESIA NETWORK INFORMATION CENTER
e-mail
abuse@idnic.net
abuse-mailbox
abuse@idnic.net
person
Wisnu Wibowo
phone
+62-816-4850814
fax-no
+62-21-5762946
nic-hdl
WW77-AP
route
202.10.63.0/24
origin
AS55653
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 |
| 2026-07-13 | Webexploit Fake Googlebot Ip List 2026 07 13 | Multiple | View Log |
| 2026-07-13 | Webexploit Mitre T1593 Ip List 2026 07 13 | Multiple | View Log |
| 2022-03-02 | Perth, Australia | Multiple | View Log |
| 2022-02-28 | Perth, Australia | Multiple | View Log |
| 2022-02-20 | Perth, Australia | Multiple | View Log |
Additional Intelligence
Threat Feeds / IP Sets
- haley_ssh
Disclaimer
This page contains threat intelligence information for the IPv4 address 202.10.63.2 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.