64.71.151.2 Threat Intelligence and Host Information

General

IP Address
64.71.151.2
IPv4 Address
Location
🇺🇸 United States
US
Network
AS6939
HURRICANE
Threat Score
32/100
Medium Risk
TORVPN
Attack Intelligence
Open Ports Detected
111
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS6939
Organization
HURRICANE
Network
AS6939 HURRICANE
WHOIS Information
NetRange
64.71.128.0 - 64.71.191.255
CIDR
64.71.128.0/18
NetName
HURRICANE-2
NetHandle
NET-64-71-128-0-1
Parent
NET64 (NET-64-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS6939
Organization
Hurricane Electric LLC (HURC)
RegDate
Updated
2024-11-25
Comment
ADDRESSES WITHIN THIS BLOCK ARE NON-PORTABLE
Ref
https://rdap.arin.net/registry/entity/HURC
OrgName
Hurricane Electric LLC
OrgId
HURC
Address
760 Mission Court
City
Fremont
StateProv
CA
PostalCode
94539
Country
US
OrgAbuseHandle
ABUSE1036-ARIN
OrgAbuseName
Abuse Department
OrgAbusePhone
+1-510-580-4100
OrgAbuseEmail
abuse@he.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE1036-ARIN

  • Country: United States
  • Network:
  • Noticed: 5 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: nellie.fun

Malware Detected on Host

Count: 2 ec43e150012d049bbdf9a552c9a466482c628db8b981064584998a97d2662914 31e336d15f3414e6bae7056b612b3529b0af5c6656f93f9c3d51312a3ce8935c

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767

Disclaimer
This page contains threat intelligence information for the IPv4 address 64.71.151.2 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.