104.244.225.230 Threat Intelligence - Jamaica | IP Address Lookup
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General
IP Address
104.244.225.230
Location
🇯🇲 Jamaica
Network
AS40786
Threat Score
0/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Passive DNS
itech-caribbean.direct.quickconnect.to
Geographic Location
Country
Jamaica
City
Unknown
Region
Unknown
Coordinates
18.1667, -77.2500
Network Information
ASN
AS40786
Organization
Digicel Jamaica
Network
AS40786 Digicel Jamaica
WHOIS Information
NetRange
104.244.224.0 - 104.244.231.255
CIDR
104.244.224.0/21
NetName
DIGICEL
NetHandle
NET-104-244-224-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
Organization
Digicel Jamaica (DIGIC-2)
RegDate
2014-11-20
Updated
2026-09-16
Ref
https://rdap.arin.net/registry/ip/104.244.224.0
OrgName
Digicel Jamaica
OrgId
DIGIC-2
Address
14 Ocean Boulevard,
City
Kingston
PostalCode
JAWI
Country
JM
OrgTechHandle
NETWO1524-ARIN
OrgTechName
Network Administrators
OrgTechPhone
+1-876-619-5000
OrgTechEmail
Marvin.Thomas@digicelgroup.com
OrgTechRef
https://rdap.arin.net/registry/entity/NETWO1524-ARIN
OrgAbuseHandle
NETWO1524-ARIN
OrgAbuseName
Network Administrators
OrgAbusePhone
+1-876-619-5000
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-21 | Webexploit Mitre T1593 Ip List 2026 10 21 | Multiple | View Log |
| 2026-10-21 | Webexploit Fake Googlebot Ip List 2026 10 21 | Multiple | View Log |
| 2026-07-12 | Webexploit Mitre T1593 Ip List 2026 07 12 | Multiple | View Log |
| 2026-07-12 | Webexploit Fake Googlebot Ip List 2026 07 12 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 104.244.225.230 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.