132.255.233.15 Threat Intelligence - Brazil | IP Address Lookup
ipinfopage
General
IP Address
132.255.233.15
Location
🇧🇷 Nanuque, Brazil
Network
AS264533
Threat Score
40/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1190 - Exploit Public-Facing Application
Noticed
27 times
Protocols Attacked
mssql portscan
Countries Attacked
China, Germany, Russian Federation, Türkiye, United Kingdom of Great Britain and Northern Ireland, United States of America
Open Ports Detected
1434338947001501718888
Geographic Location
Country
Brazil
City
Nanuque
Region
Minas Gerais
Coordinates
-17.7838, -40.5319
Network Information
ASN
AS264533
Organization
ROBERTA CARDOSO JAHEL - ME
Network
AS264533 ROBERTA CARDOSO JAHEL - ME
WHOIS Information
NetRange
132.255.0.0 - 132.255.255.255
CIDR
132.255.0.0/16
NetName
LACNIC-ERX-132-255-0-0
NetHandle
NET-132-255-0-0-1
Parent
NET132 (NET-132-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2010-11-03
Updated
2010-11-17
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/132.255.0.0
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
PostalCode
11400
Country
UY
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
OrgAbusePhone
+598-2604-2222
OrgAbuseEmail
abuse@lacnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/LWI100-ARIN
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-22 | Toronto, Canada | MSSQL | View Log |
| 2026-07-22 | Vultrtokyo | MSSQL | View Log |
| 2026-07-22 | Vultrmelbournetest | MSSQL | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 132.255.233.15 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.