14.97.219.60 Threat Intelligence and Host Information

General

IP Address
14.97.219.60
IPv4 Address
Location
🇮🇳 New Delhi, India
IN
Network
AS45820
Tata Teleservices ISP AS
Threat Score
61/100
High Risk
atiffeedbanlistfeedbinarydefensecowrieemail
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Open Ports Detected
111
Geographic Location
Country
India
City
New Delhi
Region
National Capital Territory of Delhi
Coordinates
28.6328, 77.2204
Network Information
ASN
AS45820
Organization
Tata Teleservices ISP AS
Network
AS45820 Tata Teleservices ISP AS
WHOIS Information
inetnum
14.96.0.0 - 14.97.255.255
netname
TATAINDICOM-IN
descr
TATA TELESERVICES LTD – CDMA
country
IN
org
ORG-TTLC1-AP
admin-c
KS1338-AP
tech-c
KS1338-AP
abuse-c
AT1289-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-TATAINDICOM-IN
mnt-lower
MAINT-TATAINDICOM-IN
mnt-routes
MAINT-TATAINDICOM-IN
mnt-irt
IRT-TATAINDICOM-IN
last-modified
2021-10-30T14:34:14Z
irt
IRT-TATAINDICOM-IN
address
D26/2 TTC INDUSTRIAL AREA MIDC SANPADA
e-mail
karamjeet.singh@tatatel.co.in
abuse-mailbox
ip.abuse@tatatel.co.in
organisation
ORG-TTLC1-AP
org-name
TATA TELESERVICES LTD – CDMA
org-type
LIR
phone
+91 2267438600
mnt-ref
APNIC-HM
role
TATA TELESERVICES LTD – CDMA - network administr
Attack Logs
Date Target Location Protocol Link
2025-02-16 Perth, Australia MULTIPLE View Log

  • Country: India
  • Network:
  • Noticed: 3 times
  • Protocols Attacked: SSH
  • Passive DNS Results: stblr.tatatelebusiness.com

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 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

Disclaimer
This page contains threat intelligence information for the IPv4 address 14.97.219.60 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.