47.251.26.99 Threat Intelligence and Host Information
Jul 13, 2025
ipinfopage
General
IP Address
47.251.26.99
Location
🇺🇸 Santa Clara, United States
Network
AS45102
Threat Score
15/100
Attack Intelligence
Open Ports Detected
1194
Geographic Location
Country
United States
City
Santa Clara
Region
California
Coordinates
37.3530, -121.9543
Network Information
ASN
AS45102
Organization
Alibaba US Technology Co., Ltd.
Network
AS45102 Alibaba US Technology Co., Ltd.
WHOIS Information
NetRange
47.251.0.0 - 47.251.255.255
CIDR
47.251.0.0/16
NetName
ALIBABA CLOUD - US
NetHandle
NET-47-251-0-0-1
Parent
AL-3 (NET-47-250-0-0-1)
NetType
Reassigned
OriginAS
AS45102
Organization
Alibaba Cloud LLC (AL-3)
RegDate
2018-07-24
Updated
2024-09-03
Ref
https://rdap.arin.net/registry/entity/C07028253
OrgName
Alibaba Cloud LLC
OrgId
AL-3
Address
525 Almanor Ave, 4th Floor, Sunnyvale, California, 94085, USA
City
San Mateo
StateProv
CA
PostalCode
94402
Country
US
Comment
4. For network issue, please send email to this mail list: aliops-goc@list.alibaba-inc.com
OrgTechHandle
ALIBA-ARIN
OrgTechName
Alibaba NOC
OrgTechPhone
+1-408-748-1200
OrgTechEmail
noc@list.alibaba-inc.com
OrgTechRef
https://rdap.arin.net/registry/entity/ALIBA-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
Malware Detected on Host
Count: 1 2b38a73e9ed0943c83e0db9e67855106edb9b35c51f353f3c4b3ee4a61705a7d
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-2020-11022 CVE-2020-11023 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728
Disclaimer
This page contains threat intelligence information for the IPv4 address 47.251.26.99 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.