175.101.130.34 Threat Intelligence - India | IP Address Lookup

Share on:

General

IP Address
175.101.130.34
IPv4 Address
Location
🇮🇳 Kākināda, India
IN
Network
AS17754
Excellmedia
Threat Score
50/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanmalwarepayload-delivery
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
9 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Finland, France, Germany, Poland, United States of America
Open Ports Detected
123443
Geographic Location
Country
India
City
Kākināda
Region
Andhra Pradesh
Coordinates
16.9616, 82.2326
Network Information
ASN
AS17754
Organization
Excellmedia
Network
AS17754 Excellmedia
Associated CVEs
WHOIS Information
inetnum
175.101.128.0 - 175.101.135.255
netname
EXCELLMEDIA-AS-AP
descr
Excell Media Pvt Ltd
country
IN
admin-c
SV99-AP
tech-c
ST697-AP
mnt-by
MAINT-IN-EXCELLMEDIA
mnt-lower
MAINT-IN-EXCELLMEDIA
mnt-routes
MAINT-IN-EXCELLMEDIA
mnt-irt
IRT-EXCELLMEDIA-IN
status
ALLOCATED NON-PORTABLE
last-modified
2025-09-27T09:44:24Z
irt
IRT-EXCELLMEDIA-IN
address
Chief Executive Officer
e-mail
support@excellmedia.net
abuse-mailbox
support@excellmedia.net
person
Srinivas Turlapati
phone
+91-40-23555000
nic-hdl
ST697-AP
route
175.101.130.0/24
origin
AS17754
notify
vinod@excellmedia.net
Attack Logs
DateTarget LocationProtocolLink
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
Disclaimer
This page contains threat intelligence information for the IPv4 address 175.101.130.34 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.