108.170.27.162 Threat Intelligence and Host Information
May 27, 2026
ipinfopage
General
IP Address
108.170.27.162
Location
🇺🇸 Phoenix, United States
Network
AS20454
Threat Score
27/100
Attack Intelligence
Open Ports Detected
21
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
108.170.0.0 - 108.170.63.255
CIDR
108.170.0.0/18
NetName
SS8
NetHandle
NET-108-170-0-0-1
Parent
NET108 (NET-108-0-0-0-0)
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
OrgTechHandle
PETRO182-ARIN
OrgTechName
Petrovic, Dragan
OrgTechPhone
+381621448366
OrgTechEmail
draganp@phoenixnap.com
OrgTechRef
https://rdap.arin.net/registry/entity/PETRO182-ARIN
OrgAbuseHandle
ABUSE1536-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: SSH
CVEs Detected
CVE-2006-5051 CVE-2007-2243 CVE-2007-2768 CVE-2008-3844 CVE-2016-10009 CVE-2016-20012 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-6387 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414
Similar IP Addresses Detected
108.170.12.13 108.170.12.15 108.170.12.8 108.170.124.232 108.170.16.147 108.170.21.87 108.170.47.122 108.170.5.79 108.170.50.92 108.170.52.159
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This page contains threat intelligence information for the IPv4 address 108.170.27.162 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.