104.208.73.137 Threat Intelligence - Hong Kong | IP Address Lookup

General

IP Address
104.208.73.137
IPv4 Address
Location
🇭🇰 Central, Hong Kong
HK
Network
AS8075
MICROSOFT-CORP-MSN-AS-BLOCK
Threat Score
35/100
Medium Risk
bruteforceportscanRimbaSiberscannerssshvultr
Attack Intelligence
Noticed
7 times
Protocols Attacked
portscan ssh
Countries Attacked
Malaysia
Open Ports Detected
3389
Geographic Location
Country
Hong Kong
City
Central
Region
Central and Western District
Coordinates
22.2908, 114.1501
Network Information
ASN
AS8075
Organization
MICROSOFT-CORP-MSN-AS-BLOCK
Network
AS8075 MICROSOFT-CORP-MSN-AS-BLOCK
WHOIS Information
NetRange
104.208.0.0 - 104.215.255.255
CIDR
104.208.0.0/13
NetName
MSFT
NetHandle
NET-104-208-0-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
Organization
Microsoft Corporation (MSFT)
RegDate
2014-10-01
Updated
2021-12-14
Ref
https://rdap.arin.net/registry/ip/104.208.0.0
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
DateTarget LocationProtocolLink
2026-07-15 Vultrmelbournetest SSH View Log
2026-07-14 Vultrmelbournetest SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 104.208.73.137 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.