166.88.104.54 Threat Intelligence and Host Information
Oct 21, 2023
ipinfopage
General
IP Address
166.88.104.54
Location
🇺🇸 Santa Clara, United States
Network
AS18779
Threat Score
15/100
Attack Intelligence
Open Ports Detected
3128
Geographic Location
Country
United States
City
Santa Clara
Region
California
Coordinates
37.3931, -121.9620
Network Information
ASN
AS18779
Organization
EGIHOSTING
Network
AS18779 EGIHOSTING
WHOIS Information
NetRange
166.88.0.0 - 166.88.255.255
CIDR
166.88.0.0/16
NetName
EGNL-1
NetHandle
NET-166-88-0-0-1
Parent
NET166 (NET-166-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS18779
Organization
EGIHosting (EGNL-1)
RegDate
2007-07-23
Updated
2023-09-07
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
OrgAbuseHandle
ABUSE1715-ARIN
OrgAbuseName
Abuse Department
OrgAbusePhone
+1-888-808-8806
OrgAbuseEmail
abuse@egihosting.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE1715-ARIN
- Country: United States
- Network: AS18779 egihosting
- Noticed: 1 times
- Protcols Attacked: Anonymous Proxy
CVEs Detected
CVE-2015-5400 CVE-2016-10002 CVE-2016-2390 CVE-2016-3947 CVE-2016-4553 CVE-2016-4554 CVE-2018-19131 CVE-2018-19132 CVE-2019-12519 CVE-2019-12520 CVE-2019-12521 CVE-2019-12522 CVE-2019-12523 CVE-2019-12524 CVE-2019-12526 CVE-2019-12528 CVE-2019-12529 CVE-2019-13345 CVE-2019-18676 CVE-2019-18677 CVE-2019-18678 CVE-2019-18679 CVE-2019-18860 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 CVE-2020-8449 CVE-2020-8450 CVE-2020-8517 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41318
Disclaimer
This page contains threat intelligence information for the IPv4 address 166.88.104.54 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.