202.1.25.3 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
202.1.25.3
IPv4 Address
Location
🇮🇩 Brebes, Indonesia
ID
Network
AS154124
PT Global Media Jaringan Nasional
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Open Ports Detected
2000535555
Geographic Location
Country
Indonesia
City
Brebes
Region
Central Java
Coordinates
-7.1883, 109.0344
Network Information
ASN
AS154124
Organization
PT Global Media Jaringan Nasional
Network
AS154124 PT Global Media Jaringan Nasional
WHOIS Information
inetnum
202.1.24.0 - 202.1.25.255
netname
IDNIC-GMJN-ID
descr
PT Global Media Jaringan Nasional
country
ID
org
ORG-INIC1-AP
admin-c
IB100-AP
tech-c
IB100-AP
mnt-by
MNT-APJII-ID
mnt-routes
MAINT-ID-GMJN
mnt-lower
MAINT-ID-GMJN
mnt-irt
IRT-GMJN-ID
status
ALLOCATED PORTABLE
last-modified
2026-06-05T02:47:43Z
irt
IRT-GMJN-ID
address
PT Global Media Jaringan Nasional
e-mail
support@gmjn.id
abuse-mailbox
support@gmjn.id
organisation
ORG-INIC1-AP
org-name
Indonesia Network Information Center
org-type
NIR
phone
+62-21-52960634
fax-no
+62-21-52960635
mnt-ref
APNIC-HM
person
Imam Baihaqi
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Mitre T1593 Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Fake Googlebot Ip List 2026 10 21 Multiple View Log
2026-07-10 Webexploit Fake Googlebot Ip List 2026 07 10 Multiple View Log
2026-07-10 Webexploit Mitre T1593 Ip List 2026 07 10 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 202.1.25.3 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.