103.171.185.6 Threat Intelligence - Indonesia | IP Address Lookup
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General
IP Address
103.171.185.6
Location
🇮🇩 Bekasi, Indonesia
Network
AS142374
Threat Score
45/100
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
11011211222538944346552225269587707177808443993995
Geographic Location
Country
Indonesia
City
Bekasi
Region
West Java
Coordinates
-6.2808, 106.9835
Network Information
ASN
AS142374
Organization
PT Solusi Integra Datakom
Network
AS142374 PT Solusi Integra Datakom
Associated CVEs
WHOIS Information
inetnum
103.171.184.0 - 103.171.185.255
netname
IDNIC-INTRAKOM-ID
descr
PT Solusi Integra Datakom
admin-c
MZ1725-AP
tech-c
MZ1725-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-lower
MAINT-ID-INTRAKOM
mnt-irt
IRT-INTRAKOM-ID
mnt-routes
MAINT-ID-INTRAKOM
status
ALLOCATED PORTABLE
last-modified
2021-08-16T03:48:32Z
irt
IRT-INTRAKOM-ID
address
PT SOLUSI INTEGRA DATAKOM
e-mail
zidni@intrakom.co.id
abuse-mailbox
abuse@intrakom.co.id
person
Muhammad Zidny
phone
+62 896 42 100043
nic-hdl
MZ1725-AP
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | 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 |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.171.185.6 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.