47.251.19.163 Threat Intelligence and Host Information
Jun 08, 2025
ipinfopage
General
IP Address
47.251.19.163
Location
🇺🇸 Santa Clara, United States
Network
AS45102
Threat Score
15/100
Attack Intelligence
Open Ports Detected
3128
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
OrgAbuseHandle
NETWO4028-ARIN
OrgAbuseName
Network Abuse
OrgAbusePhone
+1-408-785-5580
OrgAbuseEmail
intl-abuse@list.alibaba-inc.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/NETWO4028-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: strapi-master-secret-uurl-yuasdll767ew.margex.ch binary.margex.ch strapi-secret-uurl-yuasdll767ew.margex.ch future.margex.ch react.olymp.margex.ch collaterals.olymp.margex.ch collaterals.margex.ch support.olymp.margex.com dev.olymp.margex.ch margex.ch
CVEs Detected
CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824 CVE-2024-25111 CVE-2024-25617 CVE-2024-45802
Disclaimer
This page contains threat intelligence information for the IPv4 address 47.251.19.163 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.