103.174.102.89 Threat Intelligence and Host Information

General

IP Address
103.174.102.89
IPv4 Address
Location
🇮🇳 India
IN
Network
AS133719
IDIGITALCAMP WEB SERVICES
Threat Score
37/100
Medium Risk
2026-02AutomatedbruteforceOpenCTIportscanscannerssshvultr
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
India
City
Unknown
Region
Unknown
Coordinates
21.9974, 79.0011
Network Information
ASN
AS133719
Organization
IDIGITALCAMP WEB SERVICES
Network
AS133719 IDIGITALCAMP WEB SERVICES
WHOIS Information
inetnum
103.174.102.0 - 103.174.103.255
netname
IDIGITAL
descr
Route Object
admin-c
TM1181-AP
tech-c
TM1181-AP
country
IN
mnt-by
MAINT-IN-IRINN
mnt-irt
IRT-IDIGITAL-IN
mnt-routes
MAINT-IN-IRINN
status
ASSIGNED PORTABLE
last-modified
2025-12-14T22:23:35Z
irt
IRT-IDIGITAL-IN
address
FLAT NO 7, HARSHAD APARTMENT, CHETANA NAGAR,Nashik,Maharashtra-422009
e-mail
info@idigitalcamp.com
abuse-mailbox
abuse@idigitalcamp.com
role
NOC ADMIN
phone
+91 8007777253
nic-hdl
NA932-AP
route
103.174.102.0/24
origin
AS133719
Attack Logs
Date Target Location Protocol Link
2026-02-27 Vultrtokyo SSH View Log

  • Country: India
  • Network:
  • Noticed: 4 times
  • Protocols Attacked: portscan ssh
  • Passive DNS Results: pdf-qa-rag.technologymindz.com fms-aisdr-agent1.technologymindz.com campaign-management-1.technologymindz.com campaign-management.technologymindz.com architessa-ai-chatbot.technologymindz.com www.production.tracetea.org production.tracetea.org www.tracetea.org tracetea.org server.tracetea.org

CVEs Detected

CVE-2023-44487 CVE-2025-23419

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.174.102.89 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.