16.5.0.130 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
16.5.0.130
IPv4 Address
Location
🇺🇸 United States
US
Network
AS401661
EMBNEX, LLC
Threat Score
50/100
Medium Risk
b2bbankingblacklistbotnetbot_scannercommand_injectioncowriedatabase
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
14 times
Protocols Attacked
combined portscan
Countries Attacked
Australia, Malaysia
Open Ports Detected
11122312880
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS401661
Organization
EMBNEX, LLC
Network
AS401661 EMBNEX, LLC
WHOIS Information
NetRange
16.5.0.0 - 16.5.255.255
CIDR
16.5.0.0/16
NetName
HPE-15
NetHandle
NET-16-5-0-0-1
Parent
NET16 (NET-16-0-0-0-0)
NetType
Direct Allocation
Organization
HEWLETT PACKARD ENTERPRISE COMPANY (HPE-15)
RegDate
1989-05-18
Updated
2023-10-17
Ref
https://rdap.arin.net/registry/ip/16.5.0.0
OrgName
HEWLETT PACKARD ENTERPRISE COMPANY
OrgId
HPE-15
Address
1701 E. Mossy Oaks Road
City
Spring
StateProv
TX
PostalCode
77389
Country
US
OrgTechHandle
HPEIP-ARIN
OrgTechName
HPE IPADDR
OrgTechPhone
+1-800-524-7638
OrgTechEmail
ddi-hostmaster@groups.ext.hpe.com
OrgTechRef
https://rdap.arin.net/registry/entity/HPEIP-ARIN
OrgAbuseHandle
HSA41-ARIN
OrgAbuseName
HPE Subnet Abuse
Attack Logs
DateTarget LocationProtocolLink
2026-08-21 Digitaloceantoronto Combined Multiple View Log
2026-08-20 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 16.5.0.130 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.