121.200.50.7 Threat Intelligence - India | IP Address Lookup

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General

IP Address
121.200.50.7
IPv4 Address
Location
🇮🇳 Coimbatore, India
IN
Network
AS45284
Wireline Solution India Pvt Ltd.
Threat Score
52/100
High Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForcecallbackCNConnection-Resetdigital ocean
Attack Intelligence
MITRE ATT&CK Techniques
T1192 - Spearphishing Link, T1204.001 - Malicious Link, T1204.002 - Malicious File, T1566 - Phishing
Noticed
8 times
Protocols Attacked
combined portscan ssh
Countries Attacked
United Kingdom of Great Britain and Northern Ireland
Open Ports Detected
4434655878443993995
Geographic Location
Country
India
City
Coimbatore
Region
Tamil Nadu
Coordinates
11.0102, 76.9701
Network Information
ASN
AS45284
Organization
Wireline Solution India Pvt Ltd.
Network
AS45284 Wireline Solution India Pvt Ltd.
WHOIS Information
inetnum
121.200.50.0 - 121.200.50.15
netname
MAKControl
descr
MAK Control LAN Network
country
IN
admin-c
KV42-AP
tech-c
KV42-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-WLSNET-IN
mnt-lower
MAINT-WLSNET-IN
mnt-routes
MAINT-WLSNET-IN
mnt-irt
IRT-WLSNET-IN
last-modified
2025-09-27T09:47:17Z
irt
IRT-WLSNET-IN
address
1/1 Balaji Nagar, New Siddhapudur
e-mail
swami@wls.net.in
abuse-mailbox
swami@wls.net.in
person
Kanthasamy v
phone
+919894798887
nic-hdl
KV42-AP
route
121.200.50.0/24
origin
AS45284
Attack Logs
DateTarget LocationProtocolLink
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 121.200.50.7 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.