103.182.125.226 Threat Intelligence - India | IP Address Lookup
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General
IP Address
103.182.125.226
Location
🇮🇳 Mangaluru, India
Network
AS135774
Threat Score
0/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
India
City
Mangaluru
Region
Karnataka
Coordinates
12.9187, 74.8598
Network Information
ASN
AS135774
Organization
MANGALURU BROADBAND NETWORK PRIVATE LIMITED
Network
AS135774 MANGALURU BROADBAND NETWORK PRIVATE LIMITED
WHOIS Information
inetnum
103.182.124.0 - 103.182.125.255
netname
MBNL
descr
MANGALURU BROADBAND NETWORK PRIVATE LIMITED
admin-c
PM722-AP
tech-c
TI143-AP
country
IN
mnt-by
MAINT-IN-IRINN
mnt-lower
MAINT-IN-IRINN
mnt-irt
IRT-MBNL-IN
mnt-routes
MAINT-IN-MBNL
status
ALLOCATED PORTABLE
last-modified
2025-08-11T22:51:28Z
irt
IRT-MBNL-IN
address
DOOR NO.14-1-81, TRADE CENTER TOP FLOOR, JYOTHI CIRCLE, BUNTS HOSTEL ROAD KODIALBAIL P.O., MANGALORE, DAKSHINA KANNADA KARNATAKA MANGALORE 575003,Mangalore,Karnataka-575003
e-mail
mbnlv4diginet@gmail.com
abuse-mailbox
mbnlv4diginet@gmail.com
role
TECHNICAL INCHARGE
phone
+91 9844087808
nic-hdl
TI143-AP
person
PRAVEEN MAYYA
route
103.182.125.0/24
origin
AS135774
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 |
| 2026-07-12 | Webexploit Mitre T1593 Ip List 2026 07 12 | Multiple | View Log |
| 2026-07-12 | Webexploit Fake Googlebot Ip List 2026 07 12 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.182.125.226 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.