103.142.89.234 Threat Intelligence and Host Information
May 27, 2026
ipinfopage
General
IP Address
103.142.89.234
Location
🇮🇩 Indonesia
Network
AS139368
Threat Score
37/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
80
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1728, 106.8272
Network Information
ASN
AS139368
Organization
Dinas Komunikasi Dan Informatika Pemerintah Provinsi Kalimantan Selatan
Network
AS139368 Dinas Komunikasi Dan Informatika Pemerintah Provinsi Kalimantan Selatan
WHOIS Information
inetnum
103.142.88.0 - 103.142.89.255
netname
IDNIC-DISKOMINFOKALSELPROV-ID
descr
network of Dinas Komunikasi Dan Informatika Pemerintah Provinsi Kalimantan Selatan
admin-c
AH790-AP
tech-c
AH790-AP
country
ID
mnt-by
MAINT-ID-DISKOMINFOKALSELPROV
mnt-irt
IRT-DISKOMINFOKALSELPROV-ID
mnt-routes
MAINT-ID-DISKOMINFOKALSELPROV
status
ASSIGNED PORTABLE
last-modified
2024-07-18T07:42:50Z
irt
IRT-DISKOMINFOKALSELPROV-ID
address
Kota Banjarbaru, Kalimantan Selatan
e-mail
hostmaster@samudranetwork.co.id
abuse-mailbox
hostmaster@samudranetwork.co.id
person
Abdul Hafizh
phone
+62-823-54333363
nic-hdl
AH790-AP
route
103.142.88.0/23
origin
AS139368
- Country: Indonesia
- Network:
- Noticed: 1 times
- Protocols Attacked: SSH
- Countries Attacked: Australia
CVEs Detected
CVE-2007-2243 CVE-2007-2768 CVE-2007-3205 CVE-2008-3844 CVE-2013-2220 CVE-2015-9251 CVE-2019-11358 CVE-2020-11022 CVE-2020-11023 CVE-2023-51767 CVE-2024-1874 CVE-2024-22423 CVE-2024-24576 CVE-2024-3566 CVE-2025-26465 CVE-2025-26466 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414
Similar IP Addresses Detected
103.142.103.94 103.142.108.153 103.142.139.155 103.142.161.12 103.142.164.40 103.142.165.177 103.142.199.105 103.142.207.33 103.142.25.112 103.142.254.101
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This page contains threat intelligence information for the IPv4 address 103.142.89.234 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.