103.81.195.62 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.81.195.62
IPv4 Address
Location
🇮🇩 Bogor, Indonesia
ID
Network
AS59150
PT Rtiga Global Media
Threat Score
45/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1432225465587993995
Geographic Location
Country
Indonesia
City
Bogor
Region
West Java
Coordinates
-6.4751, 107.0682
Network Information
ASN
AS59150
Organization
PT Rtiga Global Media
Network
AS59150 PT Rtiga Global Media
Associated CVEs
WHOIS Information
inetnum
103.81.194.0 - 103.81.195.255
netname
RTIGA-ID
descr
PT Rtiga Global Media
admin-c
MM1889-AP
tech-c
MM1889-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-RTIGA-ID
mnt-routes
MAINT-ID-RTIGA
status
ALLOCATED PORTABLE
last-modified
2020-11-30T07:28:42Z
irt
IRT-RTIGA-ID
address
PT Rtiga Global Media
e-mail
tubagus@rnet.net.id
abuse-mailbox
tubagus@rnet.net.id
person
Murtiwitono Murtiwitono
phone
+62 2150 1122 52
nic-hdl
MM1889-AP
fax-no
+62 2150 1122 52
route
103.81.194.0/23
origin
AS59150
Attack Logs
DateTarget LocationProtocolLink
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
2026-08-29 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Toronto, Canada SSH View Log
2026-08-28 Digitaloceantoronto Combined Multiple View Log
2026-08-28 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.81.195.62 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.