162.241.87.17 Threat Intelligence and Host Information

General

IP Address
162.241.87.17
IPv4 Address
Location
🇺🇸 United States
US
Network
AS46606
UNIFIEDLAYER-AS-1
Threat Score
27/100
Low Risk
portscanscannersvultr
Attack Intelligence
Open Ports Detected
22
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
162.240.0.0 - 162.241.255.255
CIDR
162.240.0.0/15
NetName
UNIFIEDLAYER-NETWORK-16
NetHandle
NET-162-240-0-0-1
Parent
NET162 (NET-162-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Unified Layer (BLUEH-2)
RegDate
2006-08-08
Updated
2025-07-24
Comment
OCITOKEN::162.241.188.0/23:4382cdcc6395523d809a4dc8f57a86239b686d5b54c38d359ebdfcdca915f3c1
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
OrgTechHandle
ENO74-ARIN
OrgTechName
EIG Network Operations
OrgTechPhone
+1-781-852-3200
OrgTechEmail
eig-noc@endurance.com
OrgTechRef
https://rdap.arin.net/registry/entity/ENO74-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 CVE-2026-40684 CVE-2026-40685 CVE-2026-40686 CVE-2026-40687

Similar IP Addresses Detected

162.241.167.134 162.241.194.169 162.241.2.35 162.241.226.214 162.241.226.61 162.241.253.156 162.241.253.180 162.241.253.225 162.241.62.159 162.241.85.229

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Disclaimer
This page contains threat intelligence information for the IPv4 address 162.241.87.17 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.