163.47.37.14 Threat Intelligence - Bangladesh | IP Address Lookup
ipinfopage
General
IP Address
163.47.37.14
Location
🇧🇩 Bangladesh
Network
AS63961
Threat Score
0/100
Attack Intelligence
Protocols Attacked
Anonymous Proxy
Geographic Location
Country
Bangladesh
City
Unknown
Region
Unknown
Coordinates
23.7018, 90.3742
Network Information
ASN
AS63961
Organization
Bangladesh Research and Education Network BdREN
Network
AS63961 Bangladesh Research and Education Network BdREN
WHOIS Information
inetnum
163.47.36.0 - 163.47.39.255
netname
BDREN-UGC-BD
descr
Bangladesh Research and Education Network (BdREN)
country
BD
org
ORG-BRAE1-AP
admin-c
BA282-AP
tech-c
BA282-AP
abuse-c
AB1003-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-BDREN-UGC-BD
mnt-routes
MAINT-BDREN-UGC-BD
mnt-irt
IRT-BDREN-UGC-BD
last-modified
2020-06-17T13:02:10Z
irt
IRT-BDREN-UGC-BD
address
Bangladesh Research and Education Network (BdREN)
e-mail
arefin@bdren.net.bd
abuse-mailbox
abuse@bdren.net.bd
organisation
ORG-BRAE1-AP
org-name
Bangladesh Research and Education Network (BdREN)
org-type
LIR
phone
+8809612223736
mnt-ref
APNIC-HM
role
ABUSE BDRENUGCBD
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-21 | Perth, Australia | Proxy | View Log |
| 2026-07-20 | Perth, Australia | Proxy | View Log |
| 2026-07-19 | Perth, Australia | Proxy | View Log |
| 2026-07-18 | Perth, Australia | Proxy | View Log |
| 2026-07-17 | Perth, Australia | Proxy | View Log |
| 2026-07-13 | Perth, Australia | Proxy | View Log |
| 2026-07-12 | Perth, Australia | Proxy | View Log |
| 2026-07-11 | Perth, Australia | Proxy | View Log |
| 2026-07-10 | Perth, Australia | Proxy | View Log |
| 2026-07-09 | Perth, Australia | Proxy | View Log |
| 2026-07-08 | Perth, Australia | Proxy | View Log |
| 2026-07-07 | Perth, Australia | Proxy | View Log |
| 2026-07-06 | Perth, Australia | Proxy | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 163.47.37.14 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.