43.248.58.90 Threat Intelligence - India | IP Address Lookup

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General

IP Address
43.248.58.90
IPv4 Address
Location
🇮🇳 Kolkata, India
IN
Network
AS151712
Multireach Broadband Services Private Li...
Threat Score
35/100
Medium Risk
blacklistbotnetMalicious IPmiraiscantcptelnet
Attack Intelligence
Noticed
6 times
Protocols Attacked
mitre
Geographic Location
Country
India
City
Kolkata
Region
West Bengal
Coordinates
22.5643, 88.3693
Network Information
ASN
AS151712
Organization
Multireach Broadband Services Private Limited
Network
AS151712 Multireach Broadband Services Private Limited
WHOIS Information
inetnum
43.248.58.0 - 43.248.59.255
netname
MULTIREACHBROADBANDSERVICES
descr
MULTIREACH BROADBAND SERVICES PRIVATE LIMITED
admin-c
SS4368-AP
tech-c
MI502-AP
geoloc
22.572645 88.363892
country
IN
mnt-by
MAINT-IN-IRINN
mnt-lower
MAINT-IN-MULTIREACHBROADBANDSERVICES
mnt-irt
IRT-MULTIREACHBROADBANDSERVICES-IN
mnt-routes
MAINT-IN-MULTIREACHBROADBANDSERVICES
status
ALLOCATED PORTABLE
last-modified
2025-08-11T22:47:20Z
irt
IRT-MULTIREACHBROADBANDSERVICES-IN
address
41A 44 LEGACY BUILDING 4TH FLOOR 25A SHAKESPEARE SARANI KOLKATA WEST BENGAL INDIA 700017,Kolkata,West Bengal-700017
e-mail
admin@multireachbroadband.in
abuse-mailbox
sales@multireachbroadband.in
role
MANAGER IT
phone
+91 9433225356
nic-hdl
MI502-AP
person
SUMON SARDAR
route
43.248.58.0/24
origin
AS151712
Attack Logs
DateTarget LocationProtocolLink
2026-10-19 Cve 2021 42013 Attacker Ip List 2026 10 19 Multiple View Log
2026-10-19 Webexploit Mitre T1083 Ip List 2026 10 19 Multiple View Log
2026-10-19 Cve 2021 41773 Attacker Ip List 2026 10 19 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 43.248.58.90 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.