118.179.167.168 Threat Intelligence and Host Information
Mar 09, 2026
ipinfopage
General
IP Address
118.179.167.168
Location
🇧🇩 Dhaka, Bangladesh
Network
AS23956
Threat Score
41/100
Attack Intelligence
Open Ports Detected
137
Geographic Location
Country
Bangladesh
City
Dhaka
Region
Dhaka Division
Coordinates
23.7908, 90.4109
Network Information
ASN
AS23956
Organization
AmberIT Limited
Network
AS23956 AmberIT Limited
WHOIS Information
inetnum
118.179.128.0 - 118.179.191.255
netname
AMBERIT-BD
descr
Dhakacom Limited Navana Tower (7th floor) 45 Gulshan South C/A,Circle 1
country
BD
org
ORG-DL5-AP
admin-c
FA36-AP
tech-c
FA36-AP
abuse-c
AD852-AP
status
ALLOCATED 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
Banani, Dhaka 1213
e-mail
fakrul@amberit.com.bd
abuse-mailbox
abuse@amberit.com.bd
organisation
ORG-DL5-AP
org-name
Amber IT Limited
org-type
LIR
phone
+880-2-9550555
fax-no
+88-02-8819221
mnt-ref
APNIC-HM
- Country: Bangladesh
- Network:
- Noticed: 11 times
- Protocols Attacked: portscan
CVEs Detected
CVE-2010-1899 CVE-2010-2730 CVE-2010-3972
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This page contains threat intelligence information for the IPv4 address 118.179.167.168 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.