162.240.148.15 Threat Intelligence and Host Information
Mar 06, 2026
ipinfopage
General
IP Address
162.240.148.15
Location
🇺🇸 United States
Network
AS46606
Threat Score
47/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
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
162.240.0.0 - 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::162.241.60.0/22:6569a8c57919d142c522873a1717d48ad3f5260ed6b633435a3c76ebd2abf74f
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
NOC2320-ARIN
OrgAbuseName
Network Operations Center
OrgAbusePhone
+1-801-765-9400
OrgAbuseEmail
abuse@bluehost.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/NOC2320-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-03-06 | Toronto, Canada | SSH | View Log |
- Country: United States
- Network:
- Noticed: 8 times
- Protocols Attacked: portscan ssh
- Countries Attacked: Australia
- Passive DNS Results: legacyautomation.com.mx www.vps-1266584.internal-atautomation.com vps-1266584.internal-atautomation.com www.iiotsupervisor-utr53a.com otevolution.com iiotsupervisor-utr53a.com
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 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 CVE-2025-63389
Disclaimer
This page contains threat intelligence information for the IPv4 address 162.240.148.15 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.