174.138.165.154 Threat Intelligence and Host Information

General

IP Address
174.138.165.154
IPv4 Address
Location
🇺🇸 Phoenix, United States
US
Network
AS20454
SSASN2
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
10019
Geographic Location
Country
United States
City
Phoenix
Region
Arizona
Coordinates
33.4475, -112.0866
Network Information
ASN
AS20454
Organization
SSASN2
Network
AS20454 SSASN2
WHOIS Information
NetRange
174.138.160.0 - 174.138.175.255
CIDR
174.138.160.0/20
NetName
SECUREDSERVERS
NetHandle
NET-174-138-160-0-1
Parent
NET174 (NET-174-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
SECURED SERVERS LLC (SSL-65)
RegDate
2003-12-08
Updated
2026-04-06
Ref
https://rdap.arin.net/registry/entity/SSL-65
OrgName
SECURED SERVERS LLC
OrgId
SSL-65
Address
2353 W University Bldg A
City
Tempe
StateProv
AZ
PostalCode
85281
Country
US
OrgAbuseHandle
ABUSE1536-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-480-422-2022
OrgAbuseEmail
abuse@phoenixnap.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE1536-ARIN
OrgTechHandle
IPADM294-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

CVE-2007-3205 CVE-2013-2220 CVE-2017-8923 CVE-2018-16845 CVE-2019-11044 CVE-2019-11045 CVE-2019-11046 CVE-2019-11047 CVE-2019-11048 CVE-2019-11050 CVE-2019-20372 CVE-2019-9511 CVE-2019-9513 CVE-2019-9516 CVE-2020-7059 CVE-2020-7060 CVE-2020-7061 CVE-2020-7062 CVE-2020-7063 CVE-2020-7064 CVE-2020-7066 CVE-2020-7067 CVE-2020-7068 CVE-2020-7069 CVE-2020-7070 CVE-2021-23017 CVE-2021-3618 CVE-2022-31628 CVE-2022-31629 CVE-2022-37454 CVE-2022-4900 CVE-2023-44487 CVE-2024-25117 CVE-2024-3566 CVE-2025-23419

Disclaimer
This page contains threat intelligence information for the IPv4 address 174.138.165.154 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.