50.114.206.152 Threat Intelligence and Host Information

General

IP Address
50.114.206.152
IPv4 Address
Location
🇵🇰 Karachi, Pakistan
PK
Network
AS7922
COMCAST-7922
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Pakistan
City
Karachi
Region
Sindh
Coordinates
24.9246, 67.0870
Network Information
ASN
AS7922
Organization
COMCAST-7922
Network
AS7922 COMCAST-7922
WHOIS Information
NetRange
50.114.206.0 - 50.114.206.255
CIDR
50.114.206.0/24
NetName
NET-50-114-206-0-24
NetHandle
NET-50-114-206-0-3
Parent
NETUTILS (NET-50-114-206-0-2)
NetType
Reassigned
OriginAS
Organization
Internet Utilities NA LLC (DCL-577)
RegDate
2025-01-27
Updated
2025-01-27
Comment
Geofeed https://geofeed.ipxo.com/geofeed.txt
Ref
https://rdap.arin.net/registry/entity/C11081581
OrgName
Internet Utilities NA LLC
OrgId
DCL-577
Address
Private Residence
City
South San Francisco
StateProv
CA
PostalCode
94080
Country
US
OrgTechHandle
IUS-ARIN
OrgTechName
Internet Utilities Support
OrgTechPhone
+1-650-564-3425
OrgTechEmail
support@netutils.io
OrgTechRef
https://rdap.arin.net/registry/entity/IUS-ARIN

  • Country: Pakistan
  • Network:
  • Noticed: times
  • Protocols Attacked: Anonymous Proxy

CVEs Detected

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-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020 CVE-2025-55753 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-66200 CVE-2026-24072 CVE-2026-28780 CVE-2026-29168 CVE-2026-29169 CVE-2026-33006 CVE-2026-33007 CVE-2026-33523 CVE-2026-33857 CVE-2026-34032 CVE-2026-34059

Disclaimer
This page contains threat intelligence information for the IPv4 address 50.114.206.152 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.