103.135.46.170 Threat Intelligence - India | IP Address Lookup
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General
IP Address
103.135.46.170
Location
🇮🇳 India
Network
AS134032
Threat Score
35/100
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
11014321254434443587808443993
Geographic Location
Country
India
City
Unknown
Region
Unknown
Coordinates
21.9974, 79.0011
Network Information
ASN
AS134032
Organization
INFONET COMM ENTERPRISES
Network
AS134032 INFONET COMM ENTERPRISES
WHOIS Information
inetnum
103.135.46.0 - 103.135.47.255
netname
INFOIIS
descr
Info It Infra Solution
admin-c
NM1554-AP
tech-c
NM1554-AP
country
IN
mnt-by
MAINT-IN-IRINN
mnt-lower
MAINT-IN-IRINN
mnt-irt
IRT-INFOIIS-IN
mnt-routes
MAINT-IN-INFOIIS
status
ALLOCATED PORTABLE
last-modified
2025-08-11T22:50:20Z
irt
IRT-INFOIIS-IN
address
6/53, SALAPALAYAM, REDDIPATTI POST, NAMAKKAL,TAMILNADU-637002,Namakkal,Tamil Nadu-637002
e-mail
infoitinfrasolutionnkl@gmail.com
abuse-mailbox
prabhakaranmuthusamy@hotmail.com
role
noc manager
phone
+91 428676895436
nic-hdl
NM1554-AP
route
103.135.46.0/24
origin
AS134032
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-03 | Toronto, Canada | SSH | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.135.46.170 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.