170.64.133.241 Threat Intelligence and Host Information
Dec 26, 2024
ipinfopage
General
IP Address
170.64.133.241
Location
🇺🇸 United States
Network
AS
Threat Score
15/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS
Organization
Network
WHOIS Information
NetRange
170.64.128.0 - 170.64.255.255
CIDR
170.64.128.0/17
NetName
DIGITALOCEAN-170-64-128-0
NetHandle
NET-170-64-128-0-1
Parent
NET170 (NET-170-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2023-10-23
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
OrgAbuseHandle
ABUSE5232-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: citizen96.xyz stopaussiecensorship.org
CVEs Detected
CVE-2006-20001 CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2022-22719 CVE-2022-22720 CVE-2022-22721 CVE-2022-23943 CVE-2022-26377 CVE-2022-28330 CVE-2022-28614 CVE-2022-28615 CVE-2022-29404 CVE-2022-30556 CVE-2022-31813 CVE-2022-36760 CVE-2022-37436 CVE-2023-25690 CVE-2023-27522 CVE-2023-31122 CVE-2023-45802 CVE-2024-27316 CVE-2024-38474 CVE-2024-38476 CVE-2024-38477 CVE-2024-40898
Disclaimer
This page contains threat intelligence information for the IPv4 address 170.64.133.241 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.