118.179.197.202 Threat Intelligence - Bangladesh | IP Address Lookup

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General

IP Address
118.179.197.202
IPv4 Address
Location
🇧🇩 Dhaka, Bangladesh
BD
Network
AS23956
AmberIT Limited
Threat Score
35/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
465587993995
Geographic Location
Country
Bangladesh
City
Dhaka
Region
Dhaka Division
Coordinates
23.7655, 90.3878
Network Information
ASN
AS23956
Organization
AmberIT Limited
Network
AS23956 AmberIT Limited
WHOIS Information
inetnum
118.179.197.1 - 118.179.197.255
netname
ctg
descr
ctg zone
country
BD
admin-c
FA36-AP
tech-c
FA36-AP
abuse-c
AD852-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-AMBERIT-BD
mnt-lower
MAINT-AMBERIT-BD
mnt-routes
MAINT-AMBERIT-BD
mnt-irt
IRT-AMBERIT1-BD
last-modified
2025-10-22T23:56:47Z
irt
IRT-AMBERIT1-BD
address
Amber IT Limited
e-mail
zaman@amberit.com.bd
abuse-mailbox
abuse@amberit.com.bd
role
ABUSE DHAKACOMBD
phone
+000000000
nic-hdl
AD852-AP
person
Fakrul Alam
route
118.179.197.0/24
origin
AS23956
Attack Logs
DateTarget LocationProtocolLink
2026-08-31 Digitaloceantoronto Combined Multiple View Log
2026-08-31 Toronto, Canada SSH View Log
2026-08-30 Toronto, Canada SSH View Log
2026-08-30 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Toronto, Canada SSH View Log
2026-08-28 Digitaloceantoronto Combined Multiple View Log
2026-08-28 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 118.179.197.202 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.