203.89.126.144 Threat Intelligence - Bangladesh | IP Address Lookup
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General
IP Address
203.89.126.144
Location
🇧🇩 Bangladesh
Network
AS153038
Threat Score
31/100
Attack Intelligence
Noticed
3 times
Protocols Attacked
fake mitre
Countries Attacked
United States of America
Open Ports Detected
161172317920008008
Geographic Location
Country
Bangladesh
City
Unknown
Region
Unknown
Coordinates
23.7018, 90.3742
Network Information
ASN
AS153038
Organization
Business Zone Limited
Network
AS153038 Business Zone Limited
WHOIS Information
inetnum
203.89.124.0 - 203.89.127.255
netname
SB-BD
descr
Mohammad Masfiequr Rahaman & Rony Saha T/A SB NETWORK
country
BD
org
ORG-SN2-AP
admin-c
SNA62-AP
tech-c
SNA62-AP
abuse-c
AS2448-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-SB-BD
mnt-routes
MAINT-SB-BD
mnt-irt
IRT-SB-BD
last-modified
2020-11-06T00:55:37Z
irt
IRT-SB-BD
address
as-name:SB NETWOR Kallyanpur,road:3,House:17/d,Mirpur, Dhaka-1207,
e-mail
rony@sbnetworkbd.com
abuse-mailbox
rony@sbnetworkbd.com
organisation
ORG-SN2-AP
org-name
SB NETWORK
org-type
LIR
phone
+880-1822222553
mnt-ref
APNIC-HM
role
ABUSE SBBD
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 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 |
| 2026-07-14 | Webexploit Fake Googlebot Ip List 2026 07 14 | Multiple | View Log |
| 2026-07-14 | Webexploit Mitre T1593 Ip List 2026 07 14 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 203.89.126.144 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.