200.175.149.58 Threat Intelligence - Brazil | IP Address Lookup
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General
IP Address
200.175.149.58
Location
🇧🇷 Cuiabá, Brazil
Network
AS18881
Threat Score
67/100
Attack Intelligence
MITRE ATT&CK Techniques
T1005 - Data from Local System, T1016 - System Network Configuration Discovery, T1041 - Exfiltration Over C2 Channel, T1046 - Network Service Scanning, T1050 - New Service, T1057 - Process Discovery, T1059 - Command and Scripting Interpreter, T1069 - Permission Groups Discovery, T1082 - System Information Discovery, T1083 - File and Directory Discovery, T1087 - Account Discovery, T1105 - Ingress Tool Transfer, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1213 - Data from Information Repositories, T1512 - Capture Camera, T1539 - Steal Web Session Cookie, T1592 - Gather Victim Host Information, T1595 - Active Scanning
Noticed
12 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
44349152809000
Geographic Location
Country
Brazil
City
Cuiabá
Region
Mato Grosso
Coordinates
-15.5970, -56.0958
Network Information
ASN
AS18881
Organization
TELEFONICA BRASIL S.A
Network
AS18881 TELEFONICA BRASIL S.A
Associated CVEs
WHOIS Information
inetnum
200.175.128.0/18
aut-num
AS18881
abuse-c
CSTBR
owner
TELEF�NICA BRASIL S.A
ownerid
02.558.157/0001-62
responsible
Diretoria de Planejamento e Tecnologia
country
BR
owner-c
ARITE
tech-c
GVO6
inetrev
200.175.149.0/24
nserver
dns3.gvt.net.br
nsstat
20261003 AA
nslastaa
20261003
created
20010522
changed
20160909
nic-hdl-br
ARITE
person
Administra��o Rede IP Telesp
e-mail
dominios-vivo.br@telefonica.com
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-01 | Digitaloceanlondon Combined | Multiple | View Log |
| 2026-10-01 | London, UK | SSH | View Log |
| 2026-09-25 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-25 | Vultrtokyo | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 200.175.149.58 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.