103.213.236.1 Threat Intelligence and Host Information
May 13, 2026
ipinfopage
General
IP Address
103.213.236.1
Location
🇧🇩 Dhaka, Bangladesh
Network
AS135310
Threat Score
65/100
Attack Intelligence
Open Ports Detected
161
Geographic Location
Country
Bangladesh
City
Dhaka
Region
Dhaka Division
Coordinates
23.8175, 90.4096
Network Information
ASN
AS135310
Organization
Inspire Broadband
Network
AS135310 Inspire Broadband
WHOIS Information
inetnum
103.213.236.0 - 103.213.236.255
netname
INSPIREBROADBAND-BD
descr
Inspire Broadband
country
BD
admin-c
IBA4-AP
tech-c
IBA4-AP
abuse-c
AI585-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-INSPIREBROADBAND-BD
mnt-irt
IRT-INSPIREBROADBAND-BD
last-modified
2020-07-28T06:55:01Z
irt
IRT-INSPIREBROADBAND-BD
address
312 South Paik Para, Mirpur, Dhaka Dhaka 1216
e-mail
noc@inspire.com.bd
abuse-mailbox
abuse.inspire@gmail.com
role
Inspire Broadband administrator
phone
+8801678331111
nic-hdl
IBA4-AP
fax-no
+8801678331111
route
103.213.236.0/24
origin
AS135310
- Country: Bangladesh
- Network:
- Noticed: 29 times
- Protocols Attacked: Anonymous Proxy
- Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.213.236.1 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.