110.173.190.221 Threat Intelligence - India | IP Address Lookup
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General
IP Address
110.173.190.221
Location
🇮🇳 Mumbai, India
Network
AS17426
Threat Score
35/100
Attack Intelligence
Noticed
16 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
2000223306330604455060
Geographic Location
Country
India
City
Mumbai
Region
Maharashtra
Coordinates
19.0748, 72.8856
Network Information
ASN
AS17426
Organization
Primesoftex Ltd
Network
AS17426 Primesoftex Ltd
WHOIS Information
inetnum
110.173.176.0 - 110.173.191.255
netname
PRIMENET-IN
descr
PRIMENET GLOBAL LTD.
country
IN
admin-c
NA24-AP
tech-c
ST326-AP
mnt-by
MAINT-IN-IRINN
mnt-lower
MAINT-IN-PRIMENET
mnt-routes
MAINT-IN-PRIMENET
mnt-irt
IRT-PRIMENET-IN
status
ALLOCATED PORTABLE
last-modified
2025-08-11T22:52:32Z
irt
IRT-PRIMENET-IN
address
25/2, Business Park
e-mail
sahni@primenet.in
abuse-mailbox
sahni@primenet.in
person
Narender Kumar Ahuja
phone
+91-11-5192830
fax-no
+91-11-5448478
nic-hdl
NA24-AP
route
110.173.190.0/24
origin
AS17426
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-20 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-20 | Vultrtokyo Combined | Multiple | View Log |
| 2026-08-20 | Vultrtokyo | SSH | View Log |
| 2026-08-19 | Vultrtokyo Combined | Multiple | View Log |
| 2026-08-19 | Vultrtokyo | SSH | View Log |
| 2026-08-19 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-13 | Vultrtokyo Combined | Multiple | View Log |
| 2026-08-13 | Vultrtokyo | SSH | View Log |
| 2026-08-13 | Perth, Australia | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 110.173.190.221 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.