20.206.148.14 Threat Intelligence and Host Information
Mar 14, 2025
ipinfopage
General
IP Address
20.206.148.14
Location
🇧🇷 Campinas, Brazil
Network
AS8075
Threat Score
15/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Brazil
City
Campinas
Region
Sao Paulo
Coordinates
-22.9035, -47.0565
Network Information
ASN
AS8075
Organization
MICROSOFT-CORP-MSN-AS-BLOCK
Network
AS8075 MICROSOFT-CORP-MSN-AS-BLOCK
WHOIS Information
NetRange
20.192.0.0 - 20.255.255.255
CIDR
20.192.0.0/10
NetName
MSFT
NetHandle
NET-20-192-0-0-1
Parent
NET20 (NET-20-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Microsoft Corporation (MSFT)
RegDate
1998-07-10
Updated
2024-03-18
Ref
https://rdap.arin.net/registry/entity/MSFT
OrgName
Microsoft Corporation
OrgId
MSFT
Address
One Microsoft Way
City
Redmond
StateProv
WA
PostalCode
98052
Country
US
Comment
* IOC@microsoft.com
OrgAbuseHandle
MAC74-ARIN
OrgAbuseName
Microsoft Abuse Contact
OrgAbusePhone
+1-425-882-8080
OrgAbuseEmail
abuse@microsoft.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/MAC74-ARIN
- Country: Brazil
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2021-36368 CVE-2021-41617 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-38408 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-46848 CVE-2023-48795 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-51385 CVE-2023-51767 CVE-2023-5824 CVE-2024-23638 CVE-2024-25111 CVE-2024-25617 CVE-2024-45802 CVE-2024-6387 CVE-2025-26465
Disclaimer
This page contains threat intelligence information for the IPv4 address 20.206.148.14 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.