103.58.73.94 Threat Intelligence - Bangladesh | IP Address Lookup
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General
IP Address
103.58.73.94
Location
🇧🇩 Dhaka, Bangladesh
Network
AS134204
Threat Score
4/100
Attack Intelligence
Noticed
2 times
Protocols Attacked
fake mitre
Open Ports Detected
123
Geographic Location
Country
Bangladesh
City
Dhaka
Region
Dhaka Division
Coordinates
23.7529, 90.4267
Network Information
ASN
AS134204
Organization
Business Network
Network
AS134204 Business Network
WHOIS Information
inetnum
103.58.73.0 - 103.58.73.255
netname
BUSINESSNETWORK-BD
descr
Business Network
country
BD
admin-c
BNA15-AP
tech-c
BNA15-AP
abuse-c
AB920-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-BUSINESSNETWORK-BD
mnt-irt
IRT-BUSINESSNETWORK-BD
last-modified
2021-01-22T03:22:07Z
irt
IRT-BUSINESSNETWORK-BD
address
House 43/2 Meradia, dhaka dhaka 1219
e-mail
rakibul@bnet-bd.com
abuse-mailbox
rakibul@bnet-bd.com
role
ABUSE BUSINESSNETWORKBD
phone
+000000000
nic-hdl
AB920-AP
fax-no
+8801670746499
route
103.58.73.0/24
origin
AS134204
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 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 |
| 2026-07-16 | Webexploit Mitre T1593 Ip List 2026 07 16 | Multiple | View Log |
| 2026-07-16 | Webexploit Fake Googlebot Ip List 2026 07 16 | Multiple | View Log |
| 2026-07-05 | Webexploit Mitre T1593 Ip List 2026 07 05 | Multiple | View Log |
| 2026-07-05 | Webexploit Fake Googlebot Ip List 2026 07 05 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.58.73.94 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.