163.61.134.228 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
163.61.134.228
Location
🇮🇩 Tangerang, Indonesia
Network
AS153615
Threat Score
40/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
15 times
Protocols Attacked
combined ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
2244380887
Geographic Location
Country
Indonesia
City
Tangerang
Region
Banten
Coordinates
-6.1716, 106.5265
Network Information
ASN
AS153615
Organization
PT Lentera Abadi Solusinet
Network
AS153615 PT Lentera Abadi Solusinet
WHOIS Information
inetnum
163.61.134.0 - 163.61.134.255
netname
IDNIC-MYCOCOLINK-ID
descr
PT Lentera Abadi Solusinet
country
ID
org
ORG-INIC1-AP
admin-c
MAR12-AP
tech-c
MAR12-AP
mnt-by
MNT-APJII-ID
mnt-routes
MAINT-ID-MYCOCOLINK
mnt-irt
IRT-MYCOCOLINK-ID
status
ASSIGNED PORTABLE
last-modified
2025-02-14T04:44:41Z
irt
IRT-MYCOCOLINK-ID
address
PT Lentera Abadi Solusinet
e-mail
adminjs@mycocolink.co.id
abuse-mailbox
adminjs@mycocolink.co.id
organisation
ORG-INIC1-AP
org-name
Indonesia Network Information Center
org-type
NIR
phone
+62-21-52960634
fax-no
+62-21-52960635
mnt-ref
APNIC-HM
person
Muhamad Agus Rahman
nic-hdl
MAR12-AP
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-21 | Digitaloceanlondon Combined | Multiple | View Log |
| 2026-09-21 | London, UK | SSH | View Log |
| 2026-09-20 | London, UK | SSH | View Log |
| 2026-09-20 | Digitaloceanlondon Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 163.61.134.228 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.