47.237.13.48 Threat Intelligence and Host Information

General

IP Address
47.237.13.48
IPv4 Address
Location
🇺🇸 United States
US
Network
AS
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
25
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS
Organization
Network
WHOIS Information
NetRange
47.235.0.0 - 47.246.255.255
CIDR
47.246.0.0/16, 47.244.0.0/15, 47.235.0.0/16, 47.236.0.0/14, 47.240.0.0/14
NetName
AL-3
NetHandle
NET-47-235-0-0-1
Parent
NET47 (NET-47-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Alibaba Cloud LLC (AL-3)
RegDate
2010-10-29
Updated
2023-05-09
Ref
https://rdap.arin.net/registry/entity/AL-3
OrgName
Alibaba Cloud LLC
OrgId
AL-3
Address
400 S El Camino Real, Suite 400
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
OrgNOCHandle
ALIBA-ARIN
OrgNOCName
Alibaba NOC
OrgNOCPhone
+1-408-748-1200
OrgNOCEmail
abuse@alibaba-inc.com
OrgNOCRef
https://rdap.arin.net/registry/entity/ALIBA-ARIN

  • Country: United States
  • Network: ASNone
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: inputoutp.com wanmei999000.com mail9900.com 9900hou.com 8090hou.com

Malware Detected on Host

Count: 1 a029323a2f39f9a350e48fba7e7260a316cf1ea639d993ce9481229237355e94

CVEs Detected

CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-46848 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824 CVE-2024-23638

Disclaimer
This page contains threat intelligence information for the IPv4 address 47.237.13.48 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.