103.113.76.10 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.113.76.10
IPv4 Address
Location
🇮🇩 East Jakarta, Indonesia
ID
Network
AS4787
PT Cyberindo Aditama
Threat Score
45/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Passive DNS
zimbra.tiraaustenite.com
Open Ports Detected
110143254655222535877025707177808443993995
Geographic Location
Country
Indonesia
City
East Jakarta
Region
Jakarta
Coordinates
-6.2298, 106.9134
Network Information
ASN
AS4787
Organization
PT Cyberindo Aditama
Network
AS4787 PT Cyberindo Aditama
Associated CVEs
WHOIS Information
inetnum
103.113.76.0 - 103.113.79.255
netname
CBN-ID
descr
PT. Cyberindo Aditama
admin-c
CH57-AP
tech-c
CH57-AP
country
ID
mnt-by
MNT-APJII-ID
mnt-irt
IRT-CBN-ID
mnt-routes
NOC-MAINT-CBN-APNIC
status
ALLOCATED PORTABLE
mnt-lower
NOC-MAINT-CBN-APNIC
last-modified
2024-01-26T07:20:42Z
irt
IRT-CBN-ID
address
PT Cyberindo Aditama
e-mail
noc@cbn.net.id
abuse-mailbox
abuse@cbn.net.id
person
CBNnet Hostmaster
nic-hdl
CH57-AP
phone
+62-21-2996-4900
fax-no
+62-21-574-2481
route
103.113.76.0/24
origin
AS4787
Attack Logs
DateTarget LocationProtocolLink
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
2026-08-29 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.113.76.10 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.