104.26.12.89 Threat Intelligence and Host Information

General

IP Address
104.26.12.89
IPv4 Address
Location
🇺🇸 United States
US
Network
AS13335
CLOUDFLARENET
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
2053
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS13335
Organization
CLOUDFLARENET
Network
AS13335 CLOUDFLARENET
WHOIS Information
NetRange
104.16.0.0 - 104.31.255.255
CIDR
104.16.0.0/12
NetName
CLOUDFLARENET
NetHandle
NET-104-16-0-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Cloudflare, Inc. (CLOUD14)
RegDate
2010-07-09
Updated
2024-11-25
Comment
Geofeed: https://api.cloudflare.com/local-ip-ranges.csv
Ref
https://rdap.arin.net/registry/entity/CLOUD14
OrgName
Cloudflare, Inc.
OrgId
CLOUD14
Address
101 Townsend Street
City
San Francisco
StateProv
CA
PostalCode
94107
Country
US
OrgAbuseHandle
ABUSE2916-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-650-319-8930
OrgAbuseEmail
abuse@cloudflare.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE2916-ARIN

Malware Detected on Host

Count: 1 94ad9fc2972f6d77644fa174c47f60c33d808f525ebc310b7f0f452ac41fa7aa

CVEs Detected

CVE-2007-3205 CVE-2013-2220 CVE-2024-11233 CVE-2024-11234 CVE-2024-11235 CVE-2024-11236 CVE-2024-3566 CVE-2024-8925 CVE-2024-8926 CVE-2024-8927 CVE-2024-8929 CVE-2024-8932 CVE-2024-9026 CVE-2025-1217 CVE-2025-1219 CVE-2025-1220 CVE-2025-14177 CVE-2025-14178 CVE-2025-14180 CVE-2025-1734 CVE-2025-1735 CVE-2025-1736 CVE-2025-1861 CVE-2025-6491

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Disclaimer
This page contains threat intelligence information for the IPv4 address 104.26.12.89 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.