161.132.54.212 Threat Intelligence - Peru | IP Address Lookup

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General

IP Address
161.132.54.212
IPv4 Address
Location
🇵🇪 Peru
PE
Network
AS3132
Red Cientifica Peruana
Threat Score
53/100
High Risk
active-responseapi-uxapiuxauto-generatedbrute-forceBruteforceBrute-Forceiso27001
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
8 times
Protocols Attacked
combined portscan
Countries Attacked
Finland, France, Germany, Poland, United States of America
Passive DNS
discadorceleriter.top
Open Ports Detected
80
Geographic Location
Country
Peru
City
Unknown
Region
Unknown
Coordinates
-12.0439, -77.0281
Network Information
ASN
AS3132
Organization
Red Cientifica Peruana
Network
AS3132 Red Cientifica Peruana
Associated CVEs
WHOIS Information
NetRange
161.131.0.0 - 161.132.255.255
CIDR
161.131.0.0/16, 161.132.0.0/16
NetName
LACNIC-ERX-161-131-0-0
NetHandle
NET-161-131-0-0-1
Parent
NET161 (NET-161-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2004-02-18
Updated
2007-12-17
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/161.131.0.0
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
PostalCode
11400
Country
UY
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
OrgTechPhone
+598-2604-2222
OrgTechRef
https://rdap.arin.net/registry/entity/LACNIC-ARIN
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
OrgAbusePhone
+598-2604-2222
Attack Logs
DateTarget LocationProtocolLink
2026-09-23 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 161.132.54.212 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.