162.241.2.157 Threat Intelligence and Host Information

Dec 16, 2024 ipinfopage

General

IP Address
162.241.2.157
IPv4 Address
Location
🇺🇸 United States
US
Network
AS46606
UNIFIEDLAYER-AS-1
Threat Score
17/100
Low Risk
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
AS46606
Organization
Unified Layer (BLUEH-2)
RegDate
2006-08-08
Updated
2020-01-31
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
OrgAbuseHandle
NOC2320-ARIN

Malware Detected on Host

Count: 2 002a76b6bee051a363e4469c836c6bc2293ca6204939527a39c7c3adc611c075 bffab6748de86ae1dc1ec7369eff44dbac704a96febaeddd2a8a1a6ce413ad9b

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-11358 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-11022 CVE-2020-11023 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767

Disclaimer
This page contains threat intelligence information for the IPv4 address 162.241.2.157 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.