104.253.25.47 Threat Intelligence - Latvia | IP Address Lookup
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General
IP Address
104.253.25.47
Location
🇱🇻 Riga, Latvia
Network
AS211273
Threat Score
23/100
Attack Intelligence
Noticed
2 times
Protocols Attacked
mitre
Countries Attacked
China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Passive DNS
104.253.25.47.sslip.io
Open Ports Detected
2244380
Geographic Location
Country
Latvia
City
Riga
Region
Riga
Coordinates
56.9473, 24.0979
Network Information
ASN
AS211273
Organization
Cloud Software - FZCO
Network
AS211273 Cloud Software - FZCO
Associated CVEs
WHOIS Information
NetRange
104.252.0.0 - 104.253.255.255
CIDR
104.252.0.0/15
NetName
EGN-21
NetHandle
NET-104-252-0-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
Organization
Subnet Digital LLC (SDL-166)
RegDate
2014-12-05
Updated
2026-04-14
Comment
Geofeed https://geofeed.egihosting.com/geofeed.csv
Ref
https://rdap.arin.net/registry/ip/104.252.0.0
OrgName
Subnet Digital LLC
OrgId
SDL-166
Address
30 N Gould St, Ste R
City
Sheridan
StateProv
WY
PostalCode
82801
Country
US
OrgTechHandle
KUMAR396-ARIN
OrgTechName
kumar, Indhira
OrgTechPhone
+1-408-228-4448
OrgTechEmail
indra.kumar@egihosting.com
OrgTechRef
https://rdap.arin.net/registry/entity/KUMAR396-ARIN
OrgNOCHandle
IRA20-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Cve 2021 42013 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Webexploit Mitre T1083 Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2021 41773 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-06-12 | Cve 2024 4577 Attacker Ip List 2026 06 12 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 104.253.25.47 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.