143.110.147.4 Threat Intelligence and Host Information

General

IP Address
143.110.147.4
IPv4 Address
Location
🇺🇸 Santa Clara, United States
US
Network
AS14061
DIGITALOCEAN-ASN
Threat Score
17/100
Low Risk
Attack Intelligence
Open Ports Detected
135
Geographic Location
Country
United States
City
Santa Clara
Region
California
Coordinates
37.3931, -121.9620
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
NetRange
143.110.128.0 - 143.110.255.255
CIDR
143.110.128.0/17
NetName
DIGITALOCEAN-143-110-128-0
NetHandle
NET-143-110-128-0-1
Parent
NET143 (NET-143-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS14061
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2025-04-11
Comment
Ref
https://rdap.arin.net/registry/entity/DO-13
OrgName
DigitalOcean, LLC
OrgId
DO-13
Address
105 Edgeview Drive, Suite 425
City
Broomfield
StateProv
CO
PostalCode
80021
Country
US
OrgNOCHandle
NOC32014-ARIN
OrgNOCName
Network Operations Center
OrgNOCPhone
+1-646-827-4366
OrgNOCEmail
noc@digitalocean.com
OrgNOCRef
https://rdap.arin.net/registry/entity/NOC32014-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: lastwords.dev api.3omlati.app 3omlati.app abmtest.leftwinggamers.com eyetradeacademy.com ca.rails.tw

CVEs Detected

CVE-2019-12519 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 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 CVE-2024-25111 CVE-2024-25617 CVE-2024-45802

Disclaimer
This page contains threat intelligence information for the IPv4 address 143.110.147.4 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.