161.129.68.174 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
161.129.68.174
IPv4 Address
Location
🇺🇸 Dallas, United States
US
Network
AS19318
Interserver, Inc
Threat Score
15/100
Low Risk
Attack Intelligence
Protocols Attacked
combined portscan
Open Ports Detected
4438090009001
Geographic Location
Country
United States
City
Dallas
Region
Texas
Coordinates
32.8137, -96.8704
Network Information
ASN
AS19318
Organization
Interserver, Inc
Network
AS19318 Interserver, Inc
Associated CVEs
WHOIS Information
NetRange
161.129.64.0 - 161.129.71.255
CIDR
161.129.64.0/21
NetName
INTER-83
NetHandle
NET-161-129-64-0-1
Parent
NET161 (NET-161-0-0-0-0)
NetType
Direct Allocation
Organization
Interserver, Inc (INTER-83)
RegDate
2024-09-09
Updated
2024-09-09
Ref
https://rdap.arin.net/registry/ip/161.129.64.0
OrgName
Interserver, Inc
OrgId
INTER-83
Address
110 Meadowlands Pkwy
City
Secaucus
StateProv
NJ
PostalCode
07094
Country
US
Comment
Please use https://www.interserver.net/contact-information.html for all abuse complaints.
OrgNOCHandle
NOC1390-ARIN
OrgNOCName
Network Operations Center
OrgNOCPhone
+1-201-605-1440
OrgNOCEmail
abusencc@interserver.net
OrgNOCRef
https://rdap.arin.net/registry/entity/NOC1390-ARIN
OrgAbuseHandle
NOC1390-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-09-04 Vultrtokyo Combined Multiple View Log
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Vultrmelbournetest Combined Multiple View Log
2026-09-01 Vultrtokyo Combined Multiple View Log
2026-08-31 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 161.129.68.174 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.