103.93.249.70 Threat Intelligence and Host Information

General

IP Address
103.93.249.70
IPv4 Address
Location
🇮🇳 New Delhi, India
IN
Network
AS45117
Ishans Network
Threat Score
45/100
Medium Risk
2026-02Automatedblacklistbotnetbruteforcecowriedionaeafatt
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
India
City
New Delhi
Region
National Capital Territory of Delhi
Coordinates
28.6328, 77.2204
Network Information
ASN
AS45117
Organization
Ishans Network
Network
AS45117 Ishans Network
WHOIS Information
inetnum
103.93.248.0 - 103.93.251.255
netname
INPL-IN
descr
INPL??s IP POOL
admin-c
INPL1-AP
tech-c
INPL1-AP
country
IN
mnt-by
MAINT-IN-IRINN
mnt-lower
MAINT-IN-IRINN
mnt-irt
IRT-INPL-IN
mnt-routes
MAINT-IN-IRINN
status
ALLOCATED PORTABLE
last-modified
2025-12-14T22:20:53Z
irt
IRT-INPL-IN
address
313 Shivam Complex, Dr. Yagnik Road, Opp Jagnath Temple, Rajkot - Gujarat - India
e-mail
iptech@ishanitech.biz
abuse-mailbox
reportabuse@ishanitech.biz
irt-nfy
reportabuse@ishanitech.biz
notify
reportabuse@ishanitech.biz
role
ISHAN NETSOL PVT LTD - network administrator
phone
+91 2816647426
nic-hdl
INPL1-AP
route
103.93.249.0/24
origin
AS45117

  • Country: India
  • Network:
  • Noticed: 10 times
  • Protocols Attacked: portscan
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2015-8325 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-20012 CVE-2016-3115 CVE-2016-6210 CVE-2016-6515 CVE-2016-8858 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465

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Disclaimer
This page contains threat intelligence information for the IPv4 address 103.93.249.70 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.