103.75.101.41 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.75.101.41
IPv4 Address
Location
🇮🇩 Bogor, Indonesia
ID
Network
AS131111
PT Mora Telematika Indonesia
Threat Score
40/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanmalwarepayload-delivery
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
18 times
Protocols Attacked
combined ssh
Countries Attacked
United States of America
Open Ports Detected
1102225338946558770718443995
Geographic Location
Country
Indonesia
City
Bogor
Region
West Java
Coordinates
-6.5541, 106.7595
Network Information
ASN
AS131111
Organization
PT Mora Telematika Indonesia
Network
AS131111 PT Mora Telematika Indonesia
WHOIS Information
inetnum
103.75.100.0 - 103.75.101.255
netname
MORATELINDO
descr
PT. Mora Telematika Indonesia
country
ID
admin-c
MH907-AP
tech-c
MN276-AP
abuse-c
AM3267-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-ID-CEPATNET
mnt-irt
IRT-CEPATNET-ID
last-modified
2022-08-16T06:01:51Z
irt
IRT-CEPATNET-ID
address
PT Mora Telematika Indonesia TBK
phone
+62-21-3199-8600
fax-no
+62-21-314-2882
e-mail
hostmaster@moratelindo.co.id
abuse-mailbox
abuse@moratelindo.co.id
role
ABUSE MORATELINDOID
nic-hdl
AM3267-AP
person
Moratelindo Hostmaster
mnt-lower
MAINT-ID-CEPATNET
mnt-routes
MAINT-ID-CEPATNET
route
103.75.101.0/24
origin
AS131111
Attack Logs
DateTarget LocationProtocolLink
2026-09-21 Digitaloceanlondon Combined Multiple View Log
2026-09-21 London, UK SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.75.101.41 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.