115.97.58.111 Threat Intelligence - India | IP Address Lookup

General

IP Address
115.97.58.111
IPv4 Address
Location
🇮🇳 Chennai, India
IN
Network
AS17488
Hathway IP Over Cable Internet
Threat Score
60/100
High Risk
0xrh0d4m1nadbauthentication-failurebrute-forcebruteforcecowriecredential-dumpingdatabase-attack
Attack Intelligence
MITRE ATT&CK Techniques
T1021 - Remote Services, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1210 - Exploitation of Remote Services, T1595 - Active Scanning
Noticed
16 times
Protocols Attacked
mssql portscan
Countries Attacked
Türkiye
Open Ports Detected
14333389
Geographic Location
Country
India
City
Chennai
Region
Tamil Nadu
Coordinates
12.8996, 80.2209
Network Information
ASN
AS17488
Organization
Hathway IP Over Cable Internet
Network
AS17488 Hathway IP Over Cable Internet
WHOIS Information
inetnum
115.96.0.0 - 115.99.255.255
netname
HATHWAY-NET
descr
HATHWAY CABLE AND DATACOM LIMITED
country
IN
org
ORG-HCAD1-AP
admin-c
VM14-AP
tech-c
VM14-AP
abuse-c
AH1250-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-IN-HATHWAY
mnt-routes
MAINT-IN-HATHWAY
mnt-irt
IRT-HATHWAY-IN
last-modified
2021-01-18T03:52:04Z
irt
IRT-HATHWAY-IN
address
Trade World, B Wing, 10th Floor, Kamla Mills Compound,
e-mail
nocadmin@hathway.net
abuse-mailbox
abuse@hathway.net
organisation
ORG-HCAD1-AP
org-name
HATHWAY CABLE AND DATACOM LIMITED
org-type
LIR
phone
+91-22-26001306
fax-no
+91-22-26001307
mnt-ref
APNIC-HM
Attack Logs
DateTarget LocationProtocolLink
2026-07-22 Toronto, Canada MSSQL View Log
2026-07-22 Vultrtokyo MSSQL View Log
2026-07-22 Vultrmelbournetest MSSQL View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 115.97.58.111 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.