129.159.56.14 Threat Intelligence - Brazil | IP Address Lookup

Share on:

General

IP Address
129.159.56.14
IPv4 Address
Location
🇧🇷 São Paulo, Brazil
BR
Network
AS31898
Oracle Corporation
Threat Score
50/100
Medium Risk
2026-012026-02AutomatedBlocklistbotnetcanarytokenscloudflarecredential-harvesting
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
7 times
Protocols Attacked
web
Countries Attacked
China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Passive DNS
painelapi.painelbot.com.br
Open Ports Detected
22443808443
Geographic Location
Country
Brazil
City
São Paulo
Region
São Paulo
Coordinates
-23.5475, -46.6361
Network Information
ASN
AS31898
Organization
Oracle Corporation
Network
AS31898 Oracle Corporation
WHOIS Information
NetRange
129.144.0.0 - 129.159.255.255
CIDR
129.144.0.0/12
NetName
OPC1
NetHandle
NET-129-144-0-0-1
Parent
NET129 (NET-129-0-0-0-0)
NetType
Direct Allocation
Organization
Oracle Corporation (ORACLE-4)
RegDate
1991-08-21
Updated
2016-10-10
Ref
https://rdap.arin.net/registry/ip/129.144.0.0
OrgName
Oracle Corporation
OrgId
ORACLE-4
Address
2300 Oracle Way
City
Austin
StateProv
TX
PostalCode
78741
Country
US
OrgRoutingHandle
ORACL2-ARIN
OrgRoutingName
ORACLEROUTING
OrgRoutingPhone
+1-800-392-2999
OrgRoutingEmail
network-contact_ww@oracle.com
OrgRoutingRef
https://rdap.arin.net/registry/entity/ORACL2-ARIN
OrgAbuseHandle
NISAM-ARIN
OrgAbuseName
Network Information Systems Abuse Management
Attack Logs
DateTarget LocationProtocolLink
2026-08-15 Cfglobal Web Multiple View Log
2026-08-15 Cfglobal Web Intelligence 2026 08 15 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 129.159.56.14 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.