216.10.217.85 Threat Intelligence - Jamaica | IP Address Lookup

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General

IP Address
216.10.217.85
IPv4 Address
Location
🇯🇲 Kingston, Jamaica
JM
Network
AS30689
FLOW
Threat Score
27/100
Medium Risk
distributedresidential-proxyscraperweb-scraperwinecommerce
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Countries Attacked
United States of America
Passive DNS
device-b445bccb-42f8-43c2-8e58-0afcd8a92eab.remotewd.com
Geographic Location
Country
Jamaica
City
Kingston
Region
Kingston
Coordinates
18.0028, -76.7897
Network Information
ASN
AS30689
Organization
FLOW
Network
AS30689 FLOW
WHOIS Information
NetRange
216.10.208.0 - 216.10.223.255
CIDR
216.10.208.0/20
NetName
CCJL-NET-BLK02
NetHandle
NET-216-10-208-0-1
Parent
NET216 (NET-216-0-0-0-0)
NetType
Direct Allocation
Organization
FLOW (CCJL)
RegDate
2009-01-15
Updated
2026-09-16
Ref
https://rdap.arin.net/registry/ip/216.10.208.0
OrgName
FLOW
OrgId
CCJL
Address
2-6 Carlton Crescent
City
Kingston
Country
JM
OrgAbuseHandle
CWCCS-ARIN
OrgAbuseName
CWC-CSIRT
OrgAbusePhone
+4291401
OrgAbuseEmail
cwc-csirt@cwc.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/CWCCS-ARIN
OrgTechHandle
ANDRE608-ARIN
OrgTechName
Andrew Millington
OrgTechPhone
+1-246-621-6216
OrgTechEmail
andrew.millington@cwc.com
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
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
2026-07-13 Webexploit Fake Googlebot Ip List 2026 07 13 Multiple View Log
2026-07-13 Webexploit Mitre T1593 Ip List 2026 07 13 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 216.10.217.85 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.