13.76.211.167 Threat Intelligence - Singapore | IP Address Lookup
ipinfopage
General
IP Address
13.76.211.167
Location
πΈπ¬ Singapore, Singapore
Network
AS8075
Threat Score
40/100
Attack Intelligence
Noticed
7 times
Protocols Attacked
portscan ssh
Countries Attacked
Malaysia
Passive DNS
esge.southeastasia.cloudapp.azure.com
Open Ports Detected
224437001
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3036, 103.8554
Network Information
ASN
AS8075
Organization
MICROSOFT-CORP-MSN-AS-BLOCK
Network
AS8075 MICROSOFT-CORP-MSN-AS-BLOCK
WHOIS Information
NetRange
13.64.0.0 - 13.107.255.255
CIDR
13.104.0.0/14, 13.96.0.0/13, 13.64.0.0/11
NetName
MSFT
NetHandle
NET-13-64-0-0-1
Parent
NET13 (NET-13-0-0-0-0)
NetType
Direct Allocation
Organization
Microsoft Corporation (MSFT)
RegDate
2015-03-26
Updated
2021-12-14
Ref
https://rdap.arin.net/registry/ip/13.64.0.0
OrgName
Microsoft Corporation
OrgId
MSFT
Address
One Microsoft Way
City
Redmond
StateProv
WA
PostalCode
98052
Country
US
Comment
To report suspected security issues specific to traffic emanating from Microsoft online services, including the distribution of malicious content or other illicit or illegal material through a Microsoft online service, please submit reports to:
OrgTechHandle
BEDAR6-ARIN
OrgTechName
Bedard, Dawn
OrgTechPhone
+1-425-538-6637
OrgTechEmail
dabedard@microsoft.com
OrgTechRef
https://rdap.arin.net/registry/entity/BEDAR6-ARIN
OrgRoutingHandle
CHATU3-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-15 | Vultrmelbournetest | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 13.76.211.167 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.