162.144.195.114 Threat Intelligence and Host Information
Jun 29, 2026
ipinfopage
General
IP Address
162.144.195.114
Location
🇺🇸 United States
Network
AS46606
Threat Score
45/100
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
162.144.0.0 - 162.144.255.255
CIDR
162.144.0.0/16
NetName
UNIFIEDLAYER-NETWORK-14
NetHandle
NET-162-144-0-0-1
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::162.144.242.0/23:9b9c87fe248eab2a8ce62f064e64160f23f636a130af7480d2516a40c3cb3367
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
OrgAbuseHandle
EIGAB1-ARIN
OrgAbuseName
EIG-Abuse Mitigation
OrgAbusePhone
+1-877-659-6181
OrgAbuseEmail
IARPOC@Newfold.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/EIGAB1-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-06-29 | Toronto, Canada | SSH | View Log |
- Country: United States
- Network:
- Noticed: 5 times
- Protocols Attacked: portscan ssh
- Countries Attacked: China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
- Passive DNS Results: www.scales.drdondutton.com courses.drdondutton.com www.preview.drdondutton.com www.courses.drdondutton.com scales.drdondutton.com preview.drdondutton.com server.drdondutton.com drdondutton.com
CVEs Detected
CVE-2025-67896 CVE-2026-40684 CVE-2026-40685 CVE-2026-40686 CVE-2026-40687 CVE-2026-45185 CVE-2026-48840
Disclaimer
This page contains threat intelligence information for the IPv4 address 162.144.195.114 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.