202.164.211.89 Threat Intelligence and Host Information

General

IP Address
202.164.211.89
IPv4 Address
Location
🇧🇩 Dhaka, Bangladesh
BD
Network
AS38026
MetroNet Bangladesh Limited, Fiber Optic...
Threat Score
60/100
High Risk
cybersecurityDDOSiocKillNetmaliciousNextrayphishing
Geographic Location
Country
Bangladesh
City
Dhaka
Region
Dhaka Division
Coordinates
23.7272, 90.4093
Network Information
ASN
AS38026
Organization
MetroNet Bangladesh Limited, Fiber Optic Based Metropolitan Data
Network
AS38026 MetroNet Bangladesh Limited, Fiber Optic Based Metropolitan Data
WHOIS Information
inetnum
202.164.211.88 - 202.164.211.95
netname
ECSTASY-DHK-BD
country
BD
admin-c
MM508-AP
tech-c
MM508-AP
abuse-c
AM2356-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-BD-MOIN
mnt-lower
MAINT-BD-SAKI
mnt-routes
MAINT-BD-SAKI
mnt-irt
IRT-MetroNet
last-modified
2016-03-12T10:59:29Z
irt
IRT-MetroNet
address
12, Sonargoan Road, Dhaka-1000
phone
+880-2-9671381
fax-no
+880-2-9670257
e-mail
mahmed@metrobd.net
abuse-mailbox
abuse@metro.net.bd
role
ABUSE MetroNet
nic-hdl
MM508-AP
person
Moin uddin Ahmed Moin uddin Ahmed
route
202.164.211.0/24
descr
MetroNet Bangladesh Limited, Fiber Optic based Metropolitan Data Communication Network, Internet Service Provider, Dhaka
origin
AS38026

  • Country: Bangladesh
  • Network:
  • Noticed: 50 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
Disclaimer
This page contains threat intelligence information for the IPv4 address 202.164.211.89 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.