50.87.249.228 Threat Intelligence and Host Information

Dec 31, 2023 ipinfopage

General

IP Address
50.87.249.228
IPv4 Address
Location
🇺🇸 United States
US
Network
AS46606
UNIFIEDLAYER-AS-1
Threat Score
40/100
Medium Risk
phishing
Attack Intelligence
Open Ports Detected
143
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
50.87.0.0 - 50.87.255.255
CIDR
50.87.0.0/16
NetName
UNIFIEDLAYER-NETWORK-9
NetHandle
NET-50-87-0-0-1
Parent
NET50 (NET-50-0-0-0-0)
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
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
OrgTechHandle
ENO74-ARIN

Malware Detected on Host

Count: 3 207574f21191700502936f015bd663b44a2b3a86adcedf3069445e6b2a70c83a 499c73ee72dd9eeedbfe5275027e6b9f07a01ff252f9d0de399ae56251f6bf5d 99855f832cc1b29a4d132cfc9437a171f64ba1ffbdcabd7ebccc05f533b6a75b

CVEs Detected

CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-51384 CVE-2023-51385

Disclaimer
This page contains threat intelligence information for the IPv4 address 50.87.249.228 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.