125.19.30.109 Threat Intelligence - India | IP Address Lookup

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General

IP Address
125.19.30.109
IPv4 Address
Location
🇮🇳 Gurugram, India
IN
Network
AS9498
BHARTI Airtel Ltd.
Threat Score
37/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
16 times
Protocols Attacked
combined portscan ssh
Passive DNS
int.jindalgroup.com
Open Ports Detected
14325587
Geographic Location
Country
India
City
Gurugram
Region
Haryana
Coordinates
28.4597, 77.0282
Network Information
ASN
AS9498
Organization
BHARTI Airtel Ltd.
Network
AS9498 BHARTI Airtel Ltd.
WHOIS Information
inetnum
125.19.30.96 - 125.19.30.111
netname
JIPO-4459132-NEW-DELHI
descr
Jindal Poly Films
country
IN
admin-c
NA40-AP
tech-c
NA40-AP
abuse-c
AB913-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-IN-BBIL
mnt-irt
IRT-BHARTI-IN
last-modified
2023-06-16T07:59:49Z
irt
IRT-BHARTI-IN
address
Bharti Airtel Ltd.
e-mail
ip.misuse@airtel.com
abuse-mailbox
ip.misuse@airtel.com
role
ABUSE BHARTIIN
phone
+000000000
nic-hdl
AB913-AP
person
Network Administrator
fax-no
+91-124-4244017
route
125.19.30.0/24
origin
AS9498
Attack Logs
DateTarget LocationProtocolLink
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
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 125.19.30.109 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.