168.205.87.154 Threat Intelligence and Host Information
Apr 06, 2026
ipinfopage
General
IP Address
168.205.87.154
Location
🇧🇷 Corrego Fundo, Brazil
Network
AS52780
Threat Score
45/100
Attack Intelligence
Open Ports Detected
123
Geographic Location
Country
Brazil
City
Corrego Fundo
Region
Minas Gerais
Coordinates
-20.4522, -45.5330
Network Information
ASN
AS52780
Organization
MAP Piumhi Ltda - ME
Network
AS52780 MAP Piumhi Ltda - ME
WHOIS Information
NetRange
168.205.76.0 - 168.205.255.255
CIDR
168.205.96.0/19, 168.205.76.0/22, 168.205.128.0/17, 168.205.80.0/20
NetName
LACNIC-ERX-168-205-76-0
NetHandle
NET-168-205-76-0-1
Parent
NET168 (NET-168-0-0-0-0)
NetType
Transferred to LACNIC
OriginAS
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2002-07-27
Updated
2018-03-15
Ref
https://rdap.arin.net/registry/entity/LACNIC
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
StateProv
PostalCode
11400
Country
UY
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
OrgTechPhone
+598-2604-2222
OrgTechRef
https://rdap.arin.net/registry/entity/LACNIC-ARIN
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
- Country: Brazil
- Network:
- Noticed: 6 times
- Protocols Attacked: portscan
- Countries Attacked: Australia
CVEs Detected
CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020 CVE-2025-55753 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-66200
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This page contains threat intelligence information for the IPv4 address 168.205.87.154 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.