162.241.239.202 Threat Intelligence and Host Information
Jun 02, 2026
ipinfopage
General
IP Address
162.241.239.202
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
162.240.0.0 - 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
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 |
|---|---|---|---|
| 2026-06-02 | London, UK | SSH | View Log |
- Country: United States
- Network:
- Noticed: 10 times
- Protocols Attacked: ssh
- Passive DNS Results: kemixgrill.com www.kemixgrill.com distribuidores.mayasolar.mx www.mayasolar.mx staging.mayasolar.mx mayasolar.mx
CVEs Detected
CVE-2022-3559 CVE-2022-3620 CVE-2022-37451 CVE-2023-42114 CVE-2023-42115 CVE-2023-42116 CVE-2023-42117 CVE-2023-42119 CVE-2023-51766 CVE-2024-39929 CVE-2025-67896 CVE-2026-40684 CVE-2026-40685 CVE-2026-40686 CVE-2026-40687
Disclaimer
This page contains threat intelligence information for the IPv4 address 162.241.239.202 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.