173.254.28.234 Threat Intelligence and Host Information

Jun 06, 2025 ipinfopage

General

IP Address
173.254.28.234
IPv4 Address
Location
🇺🇸 United States
US
Network
AS46606
UNIFIEDLAYER-AS-1
Threat Score
22/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS46606
Organization
UNIFIEDLAYER-AS-1
Network
AS46606 UNIFIEDLAYER-AS-1
WHOIS Information
NetRange
173.254.0.0 - 173.254.127.255
CIDR
173.254.0.0/17
NetName
UNIFIEDLAYER-NETWORK-8
NetHandle
NET-173-254-0-0-1
Parent
NET173 (NET-173-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS46606
Organization
Unified Layer (BLUEH-2)
RegDate
2006-08-08
Updated
2025-02-20
Ref
https://rdap.arin.net/registry/entity/BLUEH-2
OrgName
Unified Layer
OrgId
BLUEH-2
Address
1958 South 950 East
City
Provo
StateProv
UT
PostalCode
84606
Country
US
OrgNOCHandle
ENO74-ARIN
OrgNOCName
EIG Network Operations
OrgNOCPhone
+1-781-852-3200
OrgNOCEmail
eig-net-team@endurance.com
OrgNOCRef
https://rdap.arin.net/registry/entity/ENO74-ARIN
OrgAbuseHandle
NOC2320-ARIN

Malware Detected on Host

Count: 2 7b0638d749631d97044b3b3d44388979a43abd48143abf524df03335eeb290cf c90b4d39e32acc86e0a7e4a43e30283550d82b6d61d3565135fb62a930bc3654

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728

Disclaimer
This page contains threat intelligence information for the IPv4 address 173.254.28.234 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.