104.251.72.130 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
104.251.72.130
IPv4 Address
Location
🇺🇸 York, United States
US
Network
AS4922
Shenandoah Cable Television LLC
Threat Score
40/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
13 times
Protocols Attacked
combined portscan ssh
Geographic Location
Country
United States
City
York
Region
Pennsylvania
Coordinates
39.9617, -76.7329
Network Information
ASN
AS4922
Organization
Shenandoah Cable Television LLC
Network
AS4922 Shenandoah Cable Television LLC
WHOIS Information
NetRange
104.251.72.0 - 104.251.75.255
CIDR
104.251.72.0/22
NetName
SHENTEL
NetHandle
NET-104-251-72-0-2
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
Organization
Shentel Asset Entity I LLC (SAEIL-3)
RegDate
2014-12-16
Updated
2026-02-19
Ref
https://rdap.arin.net/registry/ip/104.251.72.0
OrgName
Shentel Asset Entity I LLC
OrgId
SAEIL-3
Address
500 Shentel Way
City
Edinburg
StateProv
VA
PostalCode
22824
Country
US
OrgNOCHandle
CSC198-ARIN
OrgNOCName
Customer Support Center
OrgNOCPhone
+1-540-984-5402
OrgNOCEmail
abuse@shentel.net
OrgNOCRef
https://rdap.arin.net/registry/entity/CSC198-ARIN
OrgTechHandle
PAS12-ARIN
OrgTechName
Stevenson, Patrick Albert
Attack Logs
DateTarget LocationProtocolLink
2026-09-03 Digitaloceantoronto Combined Multiple View Log
2026-09-03 Toronto, Canada SSH View Log
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Toronto, Canada SSH View Log
2026-09-01 Toronto, Canada SSH View Log
2026-09-01 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Digitaloceantoronto Combined Multiple View Log
2026-08-29 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 104.251.72.130 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.