23.94.229.103 Threat Intelligence and Host Information
Sep 08, 2025
ipinfopage
General
IP Address
23.94.229.103
Location
🇺🇸 United States
Network
AS36352
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
AS36352
Organization
AS-COLOCROSSING
Network
AS36352 AS-COLOCROSSING
WHOIS Information
NetRange
23.94.229.96 - 23.94.229.127
CIDR
23.94.229.96/27
NetName
CC-23-94-229-0-27
NetHandle
NET-23-94-229-96-1
Parent
CC-16 (NET-23-94-0-0-1)
NetType
Reassigned
OriginAS
Organization
RackNerd LLC (RL-872)
RegDate
2021-10-20
Updated
2022-03-02
Comment
Report abuse to: reportabuse@racknerd.com
Ref
https://rdap.arin.net/registry/entity/RL-872
OrgName
RackNerd LLC
OrgId
RL-872
Address
10602 N. Trademark Pkwy Suite 511
City
Rancho Cucamonga
StateProv
CA
PostalCode
91730
Country
US
OrgAbuseHandle
RAD128-ARIN
OrgAbuseName
RackNerd Abuse Department
OrgAbusePhone
+1-888-881-6373
OrgAbuseEmail
reportabuse@racknerd.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/RAD128-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2021-36368 CVE-2021-41617 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-38408 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-46848 CVE-2023-48795 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-51385 CVE-2023-51767 CVE-2023-5824 CVE-2024-23638 CVE-2024-25111 CVE-2024-25617 CVE-2024-37894 CVE-2024-45802 CVE-2024-6387 CVE-2025-26465 CVE-2025-32728 CVE-2025-54574
Disclaimer
This page contains threat intelligence information for the IPv4 address 23.94.229.103 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.