202.37.53.206 Threat Intelligence - Bangladesh | IP Address Lookup
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General
IP Address
202.37.53.206
Location
🇧🇩 Comilla, Bangladesh
Network
AS152637
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Bangladesh
City
Comilla
Region
Chittagong
Coordinates
23.3522, 91.0593
Network Information
ASN
AS152637
Organization
Comilla Cable TV Online
Network
AS152637 Comilla Cable TV Online
WHOIS Information
inetnum
202.37.52.0 - 202.37.53.255
netname
COMILLA4-BD
descr
Comilla Cable TV Online
country
BD
org
ORG-CCTO5-AP
admin-c
CCTO1-AP
tech-c
CCTO1-AP
abuse-c
AC2773-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-COMILLA4-BD
mnt-routes
MAINT-COMILLA4-BD
mnt-irt
IRT-COMILLA4-BD
last-modified
2024-03-12T06:46:51Z
irt
IRT-COMILLA4-BD
address
6th Floor, Moynamoti Golden Tower, Kandirpar Cumilla, BD, Cumilla Cumilla 3500
e-mail
info@cctvonlinebd.com
abuse-mailbox
abuse@cctvonlinebd.com
organisation
ORG-CCTO5-AP
org-name
Comilla Cable TV Online
org-type
LIR
phone
+8801313841818
mnt-ref
APNIC-HM
role
ABUSE COMILLA4BD
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 |
| 2026-07-17 | Webexploit Mitre T1593 Ip List 2026 07 17 | Multiple | View Log |
| 2026-07-17 | Webexploit Fake Googlebot Ip List 2026 07 17 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 202.37.53.206 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.