103.14.16.13 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
103.14.16.13
IPv4 Address
Location
🇮🇩 Bogor, Indonesia
ID
Network
AS55699
PT. Cemerlang Multimedia
Threat Score
40/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanfacebookmalicious-domain
Attack Intelligence
MITRE ATT&CK Techniques
T1192 - Spearphishing Link, T1566 - Phishing
Noticed
12 times
Protocols Attacked
combined portscan ssh
Countries Attacked
United Kingdom of Great Britain and Northern Ireland
Open Ports Detected
25
Geographic Location
Country
Indonesia
City
Bogor
Region
West Java
Coordinates
-6.5945, 106.7890
Network Information
ASN
AS55699
Organization
PT. Cemerlang Multimedia
Network
AS55699 PT. Cemerlang Multimedia
WHOIS Information
inetnum
103.14.16.0 - 103.14.19.255
netname
IDNIC-ICN-ID
descr
PT. Indonesia Cable Network
country
ID
admin-c
AP402-AP
tech-c
AP402-AP
mnt-by
MNT-APJII-ID
mnt-routes
MAINT-ID-ICN
mnt-irt
IRT-ICN-ID
status
ASSIGNED PORTABLE
last-modified
2012-05-31T23:33:02Z
irt
IRT-ICN-ID
address
PT. Indonesia Cable Network
e-mail
abuse@starnet.net.id
abuse-mailbox
abuse@starnet.net.id
person
Agung Purnama
phone
+62-251-8322218
fax-no
+62-251-8316813
nic-hdl
AP402-AP
route
103.14.16.0/22
origin
AS55699
Attack Logs
DateTarget LocationProtocolLink
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 103.14.16.13 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.