103.215.74.26 Threat Intelligence - United States | IP Address Lookup
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General
IP Address
103.215.74.26
Location
🇺🇸 Dallas, United States
Network
AS150303
Threat Score
52/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
10 times
Protocols Attacked
web
Countries Attacked
China, Finland, France, Germany, Poland, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Open Ports Detected
22
Geographic Location
Country
United States
City
Dallas
Region
Texas
Coordinates
32.7797, -96.8022
Network Information
ASN
AS150303
Organization
SoloRDP
Network
AS150303 SoloRDP
WHOIS Information
inetnum
103.215.74.0 - 103.215.75.254
netname
SOLORDP-IN
descr
SoloRDP.com
country
US
admin-c
SA1332-AP
tech-c
SA1332-AP
abuse-c
AS3393-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-SOLORDP-IN
mnt-irt
IRT-SOLORDP-IN
last-modified
2026-07-16T07:47:22Z
geoloc
32.838036537228724 -96.87839421534318
geofeed
https://solordp.com/geofeed.csv
irt
IRT-SOLORDP-IN
address
1004/D-Wing, Astonia Royale, Ambegaon Narhe Road, Katraj, Katraj, Pune Maharashtra 411046
e-mail
abuse@solordp.com
abuse-mailbox
abuse@solordp.com
role
ABUSE SOLORDPIN
phone
+000000000
nic-hdl
AS3393-AP
route
103.215.74.0/23
origin
AS150303
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-12 | Cfglobal Web | Multiple | View Log |
| 2026-08-11 | Cfglobal Web Intelligence 2026 08 11 | Multiple | View Log |
| 2026-08-11 | Cfglobal Web | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.215.74.26 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.