173.207.212.223 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
173.207.212.223
IPv4 Address
Location
🇺🇸 Bluffton, United States
US
Network
AS22646
Hargray Communications Group, Inc.
Threat Score
48/100
Medium Risk
bruteforcedigital oceanmalwarepayload-deliveryportscanscannerstelnettpot
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
3 times
Protocols Attacked
combined portscan telnet
Open Ports Detected
2230005
Geographic Location
Country
United States
City
Bluffton
Region
South Carolina
Coordinates
32.2302, -80.8697
Network Information
ASN
AS22646
Organization
Hargray Communications Group, Inc.
Network
AS22646 Hargray Communications Group, Inc.
WHOIS Information
NetRange
173.207.0.0 - 173.207.255.255
CIDR
173.207.0.0/16
NetName
CBL1-VOIP
NetHandle
NET-173-207-0-0-1
Parent
NET173 (NET-173-0-0-0-0)
NetType
Direct Allocation
Organization
CABLE ONE (CABLE-27)
RegDate
2009-10-30
Updated
2012-03-02
Comment
http://www.cableone.net
Ref
https://rdap.arin.net/registry/ip/173.207.0.0
OrgName
CABLE ONE
OrgId
CABLE-27
Address
210 East Earll Drive
City
PHOENIX
StateProv
AZ
PostalCode
85012
Country
US
OrgTechHandle
DUDGE5-ARIN
OrgTechName
Dudgeon, West
OrgTechPhone
+1-480-600-2002
OrgTechEmail
west.dudgeon@cableone.biz
OrgTechRef
https://rdap.arin.net/registry/entity/DUDGE5-ARIN
OrgNOCHandle
COAD-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-08-17 Toronto, Canada TELNET View Log
2026-08-17 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 173.207.212.223 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.