168.235.68.152 Threat Intelligence and Host Information

General

IP Address
168.235.68.152
IPv4 Address
Location
🇺🇸 United States
US
Network
AS3842
RAMNODE
Threat Score
20/100
Low Risk
Attack Intelligence
Open Ports Detected
53
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS3842
Organization
RAMNODE
Network
AS3842 RAMNODE
WHOIS Information
NetRange
168.235.64.0 - 168.235.113.255
CIDR
168.235.112.0/23, 168.235.96.0/20, 168.235.64.0/19
NetName
RAMNODE-10
NetHandle
NET-168-235-64-0-2
Parent
RAMNODE-10 (NET-168-235-64-0-1)
NetType
Reallocated
OriginAS
Organization
RAMNODE (IH-222)
RegDate
2021-04-01
Updated
2022-11-02
Ref
https://rdap.arin.net/registry/entity/IH-222
OrgName
RAMNODE
OrgId
IH-222
Address
360 N PACIFIC COAST HWY SUITE 1055
City
El Segundo
StateProv
CA
PostalCode
90245
Country
US
OrgAbuseHandle
RAT31-ARIN
OrgAbuseName
RamNode Abuse Team
OrgAbusePhone
+1-757-756-4028
OrgAbuseEmail
abuse@ramnode.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/RAT31-ARIN
OrgTechHandle
RAMNO1-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: claves.loading.es ns3-l1.dapda.com ns3.controldeservidor.com ns3.grupoloading.com

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 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-2019-0190 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2024-6119 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020

Disclaimer
This page contains threat intelligence information for the IPv4 address 168.235.68.152 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.