47.89.128.48 Threat Intelligence and Host Information

General

IP Address
47.89.128.48
IPv4 Address
Location
🇺🇸 United States
US
Network
AS45102
Alibaba US Technology Co., Ltd.
Threat Score
41/100
Medium Risk
blacklistbotnetMaliciousIPmiraiscanSkypetcp
Attack Intelligence
Open Ports Detected
123
Geographic Location
Country
United States
City
Unknown
Region
Virginia
Coordinates
38.6583, -77.2481
Network Information
ASN
AS45102
Organization
Alibaba US Technology Co., Ltd.
Network
AS45102 Alibaba US Technology Co., Ltd.
WHOIS Information
NetRange
47.89.128.0 - 47.89.191.255
CIDR
47.89.128.0/18
NetName
ALICLOUD-US
NetHandle
NET-47-89-128-0-1
Parent
AL-3 (NET-47-88-0-0-1)
NetType
Reassigned
OriginAS
AS45102
Organization
Alibaba Cloud LLC (AL-3)
RegDate
2018-04-20
Updated
2024-08-05
Ref
https://rdap.arin.net/registry/entity/C06961491
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
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
Attack Logs
Date Target Location Protocol Link
2024-07-01 Vultrmadrid SNMP View Log

  • Country: United States
  • Network: AS45102 alibaba (us) technology co. ltd.
  • Noticed: 3 times
  • Protocols Attacked: snmp

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2018-20685 CVE-2019-16905 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767

Disclaimer
This page contains threat intelligence information for the IPv4 address 47.89.128.48 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.