182.253.237.100 Threat Intelligence - Indonesia | IP Address Lookup

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General

IP Address
182.253.237.100
IPv4 Address
Location
🇮🇩 Central Jakarta, Indonesia
ID
Network
AS38482
Biznet ISP
Threat Score
40/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanmalwarepayload-delivery
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
18 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
11014325443465993995
Geographic Location
Country
Indonesia
City
Central Jakarta
Region
Jakarta
Coordinates
-6.1898, 106.8415
Network Information
ASN
AS38482
Organization
Biznet ISP
Network
AS38482 Biznet ISP
WHOIS Information
inetnum
182.253.0.0 - 182.253.255.255
netname
BIZNET-AP
descr
Biznet Networks
country
ID
admin-c
BA18-AP
tech-c
BA18-AP
status
ALLOCATED PORTABLE
mnt-by
MNT-APJII-ID
mnt-routes
MAINT-ID-BIZNET
mnt-lower
MAINT-ID-BIZNET
mnt-irt
IRT-BIZNET-ID
last-modified
2026-03-02T02:08:28Z
irt
IRT-BIZNET-ID
address
Biznet Networks
e-mail
noc@biznetnetworks.com
abuse-mailbox
abuse@biz.net.id
person
BIZNET ADMIN
phone
+62-21-570-8888
fax-no
+62-21-570-0580
nic-hdl
BA18-AP
Attack Logs
DateTarget LocationProtocolLink
2026-09-04 Digitaloceantoronto Combined Multiple 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
Disclaimer
This page contains threat intelligence information for the IPv4 address 182.253.237.100 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.