14.143.173.84 Threat Intelligence and Host Information

General

IP Address
14.143.173.84
IPv4 Address
Location
🇮🇳 Hyderabad, India
IN
Network
AS4755
TATA Communications formerly VSNL is Lea...
Threat Score
25/100
Low Risk
Nextraycybersecurityiocmaliciousphishingscannersssh
Attack Intelligence
Open Ports Detected
443
Geographic Location
Country
India
City
Hyderabad
Region
Telangana
Coordinates
17.4254, 78.5075
Network Information
ASN
AS4755
Organization
TATA Communications formerly VSNL is Leading ISP
Network
AS4755 TATA Communications formerly VSNL is Leading ISP
WHOIS Information
inetnum
14.140.0.0 - 14.143.255.255
netname
TATACOMM-IN
descr
Tata Communications Limited
country
IN
org
ORG-TCL6-AP
admin-c
IA15-AP
tech-c
VT43-AP
abuse-c
AT1356-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-TATACOMM-IN
mnt-lower
MAINT-TATACOMM-IN
mnt-routes
MAINT-TATACOMM-IN
mnt-irt
IRT-TATACOMM-IN
last-modified
2020-08-21T20:23:42Z
irt
IRT-TATACOMM-IN
address
‘G’ Block, Bandra Kurla Complex, Mumbai
e-mail
ip.admin@tatacommunications.com
abuse-mailbox
4755abuse@tatacommunications.com
organisation
ORG-TCL6-AP
org-name
Tata Communications Limited
org-type
LIR
phone
+91-22-66591637
fax-no
+91-22-66502039
mnt-ref
APNIC-HM

  • Country: India
  • Network: AS4755 tata communications
  • Noticed: 1 times
  • Protcols Attacked: ssh
  • Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
  • Passive DNS Results: vpn.taasheelabs.in
Disclaimer
This page contains threat intelligence information for the IPv4 address 14.143.173.84 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.