172.213.227.73 Threat Intelligence - Italy | IP Address Lookup

Share on:

General

IP Address
172.213.227.73
IPv4 Address
Location
🇮🇹 Milan, Italy
IT
Network
AS8075
Microsoft Corporation
Threat Score
35/100
Medium Risk
blacklistbotnetbrute-forcecanarytokenscloudflarecowriecredential-attackcredential-harvesting
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
6 times
Protocols Attacked
web
Open Ports Detected
258080
Geographic Location
Country
Italy
City
Milan
Region
Lombardy
Coordinates
45.4722, 9.1922
Network Information
ASN
AS8075
Organization
Microsoft Corporation
Network
AS8075 Microsoft Corporation
WHOIS Information
NetRange
172.200.0.0 - 172.215.255.255
CIDR
172.208.0.0/13, 172.200.0.0/13
NetName
RIPE
NetHandle
NET-172-200-0-0-1
Parent
NET172 (NET-172-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2022-06-22
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/172.200.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-08-08 Cfglobal Web Intelligence 2026 08 08 Multiple View Log
2026-08-08 Cfglobal Web Multiple View Log
2026-08-07 Cfglobal Web Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 172.213.227.73 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.