191.5.133.98 Threat Intelligence and Host Information
Apr 06, 2026
ipinfopage
General
IP Address
191.5.133.98
Location
🇧🇷 Sao Jose do Rio Preto, Brazil
Network
AS263536
Threat Score
41/100
Attack Intelligence
Open Ports Detected
161
Geographic Location
Country
Brazil
City
Sao Jose do Rio Preto
Region
Sao Paulo
Coordinates
-20.7784, -49.3518
Network Information
ASN
AS263536
Organization
Empresa de Telecomunicacoes da Alta Mogiana - AMG
Network
AS263536 Empresa de Telecomunicacoes da Alta Mogiana - AMG
WHOIS Information
inetnum
191.5.128.0/20
aut-num
AS263536
abuse-c
MITEC66
owner
MICROSET MAQUINAS E SERVICOS LTDA
ownerid
74.209.909/0001-90
responsible
JO�O LUIZ ZUANAZI PINTO
country
BR
owner-c
PRM21
tech-c
MITEC66
inetrev
191.5.133.0/24
nserver
dns2.amgtelecom.net.br [lame - not published]
nsstat
20260510 UDN
nslastaa
20260109
created
20250915
changed
20250915
nic-hdl-br
MITEC66
person
MICROSET TECNOLOGIA
e-mail
engenharia@microset.com.br
- Country: Brazil
- Network:
- Noticed: 3 times
- Protocols Attacked: portscan
CVEs Detected
CVE-2018-5281 CVE-2019-7474 CVE-2019-7475 CVE-2019-7477 CVE-2019-7479 CVE-2019-7487 CVE-2020-5130 CVE-2020-5134 CVE-2020-5135 CVE-2020-5136 CVE-2020-5137 CVE-2020-5138 CVE-2020-5139 CVE-2020-5140 CVE-2020-5141 CVE-2020-5142 CVE-2020-5143 CVE-2021-20027 CVE-2021-20031 CVE-2021-20046 CVE-2021-20048 CVE-2021-3450 CVE-2022-22274 CVE-2023-0656 CVE-2023-1101 CVE-2023-39276 CVE-2023-39277 CVE-2023-39278 CVE-2023-39279 CVE-2023-39280 CVE-2023-41711 CVE-2023-41712 CVE-2023-41713 CVE-2023-41715 CVE-2024-29012 CVE-2024-29013 CVE-2024-3596 CVE-2024-40764 CVE-2024-40766 CVE-2025-40601 CVE-2026-0204 CVE-2026-0205 CVE-2026-0206 CVE-2026-0399 CVE-2026-0400 CVE-2026-0401 CVE-2026-0402 CVE-2026-3439
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This page contains threat intelligence information for the IPv4 address 191.5.133.98 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.