159.203.23.64 Threat Intelligence and Host Information

General

IP Address
159.203.23.64
IPv4 Address
Location
🇨🇦 Toronto, Canada
CA
Network
AS14061
DIGITALOCEAN-ASN
Threat Score
47/100
Medium Risk
bruteforceBruteforceBrute-ForcesshSSH
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Canada
City
Toronto
Region
Ontario
Coordinates
43.6547, -79.3623
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
NetRange
159.203.0.0 - 159.203.255.255
CIDR
159.203.0.0/16
NetName
DIGITALOCEAN-159-203-0-0
NetHandle
NET-159-203-0-0-1
Parent
NET159 (NET-159-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS14061
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2023-10-23
Comment
Ref
https://rdap.arin.net/registry/entity/DO-13
OrgName
DigitalOcean, LLC
OrgId
DO-13
Address
FL2
City
New York
StateProv
NY
PostalCode
10013
Country
US
OrgNOCHandle
NOC32014-ARIN
OrgNOCName
Network Operations Center
OrgNOCPhone
+1-347-875-6044
OrgNOCEmail
noc@digitalocean.com
OrgNOCRef
https://rdap.arin.net/registry/entity/NOC32014-ARIN

  • Country: Canada
  • Network:
  • Noticed: 7 times
  • Protocols Attacked: Anonymous Proxy
  • Countries Attacked: Australia
  • Passive DNS Results: ckanstage.abraxasint.com relaxed-khayyam.159-203-23-64.plesk.page practical-leakey.159-203-23-64.plesk.page gifted-hugle.159-203-23-64.plesk.page eager-matsumoto.159-203-23-64.plesk.page nervous-kare.159-203-23-64.plesk.page upbeat-cori.159-203-23-64.plesk.page www.airbnb.place-d71849-reservation.space www.airbnb.reservation-place-968274.live afxsoftware.ca

CVEs Detected

CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-46848 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824 CVE-2024-23638 CVE-2024-45802

Disclaimer
This page contains threat intelligence information for the IPv4 address 159.203.23.64 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.