202.51.69.225 Threat Intelligence - Nepal | IP Address Lookup

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General

IP Address
202.51.69.225
IPv4 Address
Location
🇳🇵 Nepal
NP
Network
AS4007
Subisu Cablenet (Pvt) Ltd, Baluwatar, Ka...
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Nepal
City
Unknown
Region
Unknown
Coordinates
28.0000, 84.0000
Network Information
ASN
AS4007
Organization
Subisu Cablenet (Pvt) Ltd, Baluwatar, Kathmandu, Nepal
Network
AS4007 Subisu Cablenet (Pvt) Ltd, Baluwatar, Kathmandu, Nepal
WHOIS Information
inetnum
202.51.69.0 - 202.51.69.255
netname
CCNEP-NP-AP
descr
Communications and communicate Nepal (P)Ltd.
country
NP
org
ORG-CCNP1-AP
admin-c
SS668-AP
tech-c
SS668-AP
abuse-c
AC1888-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-NP-CCNEP
mnt-routes
MAINT-NP-CCNEP
mnt-irt
IRT-CCNEP-NP
last-modified
2026-01-08T04:01:33Z
irt
IRT-CCNEP-NP
address
Communications & Communicate Nepal
e-mail
ramkrishna@subisu.net.np
abuse-mailbox
ramkrishna@subisu.net.np
organisation
ORG-CCNP1-AP
org-name
Communications & Communicate Nepal Pvt Ltd
org-type
LIR
phone
+977-9851027668
mnt-ref
APNIC-HM
role
ABUSE CCNEPNP
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
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
Disclaimer
This page contains threat intelligence information for the IPv4 address 202.51.69.225 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.