101.53.149.246 Threat Intelligence - India | IP Address Lookup
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General
IP Address
101.53.149.246
Location
🇮🇳 India
Network
AS132420
Threat Score
30/100
Attack Intelligence
Noticed
14 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
110254435877071993995
Geographic Location
Country
India
City
Unknown
Region
Unknown
Coordinates
21.9974, 79.0011
Network Information
ASN
AS132420
Organization
282, Sector 19
Network
AS132420 282, Sector 19
WHOIS Information
inetnum
101.53.128.0 - 101.53.159.255
netname
E2E-NETWORKS-IN
descr
E2E Networks Private Limited
country
IN
org
ORG-ENPL1-AP
admin-c
TD302-AP
tech-c
TD302-AP
abuse-c
AE339-AP
status
ASSIGNED PORTABLE
mnt-by
APNIC-HM
mnt-routes
MAINT-E2E-NETWORKS-IN
mnt-irt
IRT-E2E-NETWORKS-IN
last-modified
2020-10-07T05:33:38Z
irt
IRT-E2E-NETWORKS-IN
address
Awfis, First Floor, A-24/9, Mohan Cooperative Industrial Estate, Mathura Road, Saidabad, New Delhi-110044
phone
+91-11-4084-4511
e-mail
abuse@e2enetworks.com
abuse-mailbox
abuse@e2enetworks.com
organisation
ORG-ENPL1-AP
org-name
E2E Networks Limited
org-type
LIR
mnt-ref
APNIC-HM
role
ABUSE E2ENETWORKSIN
nic-hdl
AE339-AP
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Digitaloceantoronto Combined | Multiple | View Log |
| 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 101.53.149.246 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.