174.34.132.105 Threat Intelligence - United States | IP Address Lookup

Share on:

General

IP Address
174.34.132.105
IPv4 Address
Location
🇺🇸 Dallas, United States
US
Network
AS394380
Leaseweb USA, Inc.
Threat Score
43/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
4 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1101432122253000330644346558780993995
Geographic Location
Country
United States
City
Dallas
Region
Texas
Coordinates
32.7797, -96.8022
Network Information
ASN
AS394380
Organization
Leaseweb USA, Inc.
Network
AS394380 Leaseweb USA, Inc.
Associated CVEs
WHOIS Information
NetRange
174.34.128.0 - 174.34.191.255
CIDR
174.34.128.0/18
NetName
NET-174-34-128-0-1
NetHandle
NET-174-34-128-0-1
Parent
NET174 (NET-174-0-0-0-0)
NetType
Direct Allocation
Organization
Leaseweb USA, Inc. (LU)
RegDate
2008-10-28
Updated
2021-02-15
Ref
https://rdap.arin.net/registry/ip/174.34.128.0
OrgName
Leaseweb USA, Inc.
OrgId
LU
Address
9480 Innovation Dr
City
Manassas
StateProv
VA
PostalCode
20109
Country
US
Comment
www.leaseweb.com
OrgAbuseHandle
LUAD3-ARIN
OrgAbuseName
Leaseweb US abuse dept
OrgAbusePhone
+1-571-814-3777
OrgAbuseEmail
abuse@us.leaseweb.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/LUAD3-ARIN
OrgNOCHandle
LEASE-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-08-23 Vultrtokyo Combined Multiple View Log
2026-08-23 Digitaloceantoronto Combined Multiple View Log
2026-08-23 Toronto, Canada SSH View Log
2026-08-23 Vultrtokyo SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 174.34.132.105 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.