177.55.52.73 Threat Intelligence - Brazil | IP Address Lookup

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General

IP Address
177.55.52.73
IPv4 Address
Location
🇧🇷 Sengés, Brazil
BR
Network
AS28220
Alares Cabo Servicos de Telecomunicacoes...
Threat Score
33/100
Medium Risk
cowriedigital oceandionaeafatthoneytrapmailoneyp0fportscan
Attack Intelligence
Noticed
4 times
Protocols Attacked
combined portscan
Open Ports Detected
13514333894434455935985
Geographic Location
Country
Brazil
City
Sengés
Region
Paraná
Coordinates
-24.2257, -49.4608
Network Information
ASN
AS28220
Organization
Alares Cabo Servicos de Telecomunicacoes S.A.
Network
AS28220 Alares Cabo Servicos de Telecomunicacoes S.A.
WHOIS Information
inetnum
177.55.48.0/20
aut-num
AS28220
abuse-c
TICTE2
owner
Alares Cabo Servicos de Telecomunicacoes S.A.
ownerid
02.952.192/0001-61
responsible
Denis Ferreira
country
BR
owner-c
LUABA149
tech-c
ARCTE
inetrev
177.55.48.0/20
nserver
ns1.webbytelecom.com.br
nsstat
20260823 AA
nslastaa
20260823
created
20110608
changed
20260127
nic-hdl-br
LUABA149
person
Luis Antonio Bannwart
e-mail
registro.br@alaresinternet.com.br
Attack Logs
DateTarget LocationProtocolLink
2026-08-20 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 177.55.52.73 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.