47.76.121.170 Threat Intelligence and Host Information
Jul 17, 2025
ipinfopage
General
IP Address
47.76.121.170
Location
🇺🇸 Crugers, United States
Network
AS
Threat Score
22/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
United States
City
Crugers
Region
New York
Coordinates
41.2182, -73.8911
Network Information
ASN
AS
Organization
Network
WHOIS Information
NetRange
47.76.0.0 - 47.76.255.255
CIDR
47.76.0.0/16
NetName
ALIBABA CLOUD - HK
NetHandle
NET-47-76-0-0-1
Parent
AL-3 (NET-47-74-0-0-1)
NetType
Reassigned
OriginAS
AS45102
Organization
Alibaba Cloud LLC (AL-3)
RegDate
2023-12-28
Updated
2024-09-02
Ref
https://rdap.arin.net/registry/entity/C10592394
OrgName
Alibaba Cloud LLC
OrgId
AL-3
Address
31/F., Tower One, Times Square, 1 Matheson Street, Causeway Bay, Hong Kong
City
Hong Kong
StateProv
PostalCode
Country
CN
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
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-07-17 | Vultrparis | SSH | View Log |
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 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 47.76.121.170 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.