112.140.160.26 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
112.140.160.26
IPv4 Address
Location
🇮🇩 Indonesia
ID
Network
AS45708
Pemerintah Kota Surabaya
Threat Score
35/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
15 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1101432558780995
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1750, 106.8286
Network Information
ASN
AS45708
Organization
Pemerintah Kota Surabaya
Network
AS45708 Pemerintah Kota Surabaya
WHOIS Information
inetnum
112.140.160.0 - 112.140.167.255
netname
SURABAYA-ID
descr
Pemerintah Kota Surabaya
country
ID
admin-c
DKDI9-AP
tech-c
DKDI9-AP
abuse-c
AS2291-AP
status
ASSIGNED PORTABLE
mnt-by
MNT-APJII-ID
mnt-lower
MAINT-ID-SURABAYA
mnt-routes
MAINT-ID-SURABAYA
mnt-irt
IRT-SURABAYA-ID
last-modified
2020-06-18T04:14:53Z
irt
IRT-SURABAYA-ID
address
Pemerintah Kota Surabaya
e-mail
abuse@surabaya.go.id
abuse-mailbox
abuse@surabaya.go.id
role
ABUSE SURABAYAID
phone
+000000000
nic-hdl
AS2291-AP
person
Dinas Komunikasi dan Informatika Pemerintah Kota Surabaya
fax-no
+62-31-5450154
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
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 112.140.160.26 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.