45.174.238.252 Threat Intelligence - Brazil | IP Address Lookup

Share on:

General

IP Address
45.174.238.252
IPv4 Address
Location
🇧🇷 Xangri-lá, Brazil
BR
Network
AS268873
Sindelar Servicos de Internet Ltda
Threat Score
29/100
Medium Risk
blacklisthttpimageMalicious IPrangetcp
Attack Intelligence
Noticed
2 times
Protocols Attacked
fake mitre
Geographic Location
Country
Brazil
City
Xangri-lá
Region
Rio Grande do Sul
Coordinates
-29.8105, -50.0922
Network Information
ASN
AS268873
Organization
Sindelar Servicos de Internet Ltda
Network
AS268873 Sindelar Servicos de Internet Ltda
WHOIS Information
inetnum
45.174.236.0/22
aut-num
AS268873
abuse-c
AIWIE
owner
Sindelar Servi�os de Internet Ltda
ownerid
08.845.642/0001-01
responsible
Luiza Maria de Souza Sindelar
country
BR
owner-c
LMSSI176
tech-c
AIWIE
inetrev
45.174.238.0/24
nserver
ns1.viutelecom.com.br
nsstat
20261023 AA
nslastaa
20261023
created
20190417
changed
20190417
geofeed
https://helpdesk.nexthop.solutions/geofeed/AS268873/prefix-45.174.236.0_22.csv
nic-hdl-br
LMSSI176
person
Luiza Maria de Souza Sindelar
e-mail
luizasindelar@sindelar.com.br
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Mitre T1593 Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Fake Googlebot Ip List 2026 10 21 Multiple View Log
2026-07-14 Webexploit Fake Googlebot Ip List 2026 07 14 Multiple View Log
2026-07-14 Webexploit Mitre T1593 Ip List 2026 07 14 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 45.174.238.252 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.