50.117.66.86 Threat Intelligence and Host Information
Aug 03, 2024
ipinfopage
General
IP Address
50.117.66.86
Location
🇬🇧 London, United Kingdom
Network
AS54252
Threat Score
15/100
Attack Intelligence
Open Ports Detected
4444
Geographic Location
Country
United Kingdom
City
London
Region
England
Coordinates
51.5164, -0.0930
Network Information
ASN
AS54252
Organization
SP-NYJ
Network
AS54252 SP-NYJ
WHOIS Information
NetRange
50.117.0.0 - 50.117.127.255
CIDR
50.117.0.0/17
NetName
EGIHOSTING-4
NetHandle
NET-50-117-0-0-1
Parent
NET50 (NET-50-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS18779
Organization
EGIHosting (EGNL-1)
RegDate
2007-07-23
Updated
2024-08-08
Ref
https://rdap.arin.net/registry/entity/EGNL-1
OrgName
EGIHosting
OrgId
EGNL-1
Address
3223 Kenneth Street
City
Santa Clara
StateProv
CA
PostalCode
95054
Country
US
Comment
Geofeed https://geofeed.egihosting.com/geofeed.csv
OrgNOCHandle
NOC2660-ARIN
OrgNOCName
Network Operations Center
OrgNOCPhone
+1-888-808-8806
OrgNOCEmail
noc@egihosting.com
OrgNOCRef
https://rdap.arin.net/registry/entity/NOC2660-ARIN
- Country: United Kingdom
- Network: AS54252 sprious llc
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: hjxzyy.com
Malware Detected on Host
Count: 1 5e9b1a19230d76b0fda5f5314219a55b8d42ab889c62c1f07fb773734a3e08d3
CVEs Detected
CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-28662 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824
Disclaimer
This page contains threat intelligence information for the IPv4 address 50.117.66.86 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.