161.132.53.88 Threat Intelligence and Host Information

General

IP Address
161.132.53.88
IPv4 Address
Location
🇵🇪 Peru
PE
Network
AS3132
Red Cientifica Peruana
Threat Score
29/100
Low Risk
BruteforceBrute-ForceSSH
Attack Intelligence
Open Ports Detected
21
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
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
OriginAS
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2002-07-27
Updated
2018-03-15
Comment
Please see http://www.lacnic.net/ for further details,
Ref
https://rdap.arin.net/registry/entity/LACNIC
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
StateProv
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
Attack Logs
Date Target Location Protocol Link
2026-01-01 Perth, Australia MULTIPLE View Log

  • Country: Peru
  • Network:
  • Noticed: 2 times
  • Protocols Attacked: SSH
  • Passive DNS Results: deltatrackpro.com

CVEs Detected

CVE-2006-20001 CVE-2007-2768 CVE-2007-3205 CVE-2007-4723 CVE-2008-3844 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2220 CVE-2013-2765 CVE-2013-4365 CVE-2016-20012 CVE-2018-17189 CVE-2018-17199 CVE-2019-0190 CVE-2019-0196 CVE-2019-0197 CVE-2019-0211 CVE-2019-0215 CVE-2019-0217 CVE-2019-0220 CVE-2019-10081 CVE-2019-10082 CVE-2019-10092 CVE-2019-10097 CVE-2019-10098 CVE-2019-16905 CVE-2019-17567 CVE-2019-9517 CVE-2020-11984 CVE-2020-11993 CVE-2020-13938 CVE-2020-14145 CVE-2020-15778 CVE-2020-1927 CVE-2020-1934 CVE-2020-27216 CVE-2020-27218 CVE-2020-27223 CVE-2020-35452 CVE-2020-9490 CVE-2021-26690 CVE-2021-26691 CVE-2021-28165 CVE-2021-28169 CVE-2021-32785 CVE-2021-32786 CVE-2021-32791 CVE-2021-32792 CVE-2021-33193 CVE-2021-34428 CVE-2021-34798 CVE-2021-36160 CVE-2021-36368 CVE-2021-3711 CVE-2021-3712 CVE-2021-39275 CVE-2021-40438 CVE-2021-4160 CVE-2021-41617 CVE-2021-44224 CVE-2021-44790 CVE-2022-0778 CVE-2022-1292 CVE-2022-2047 CVE-2022-2048 CVE-2022-2068 CVE-2022-2097 CVE-2022-22719 CVE-2022-22720 CVE-2022-22721 CVE-2022-23943 CVE-2022-26377 CVE-2022-28330 CVE-2022-28614 CVE-2022-28615 CVE-2022-29404 CVE-2022-30556 CVE-2022-31813 CVE-2022-36760 CVE-2022-37436 CVE-2022-4304 CVE-2022-4450 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-25690 CVE-2023-26048 CVE-2023-26049 CVE-2023-2650 CVE-2023-27522 CVE-2023-31122 CVE-2023-36478 CVE-2023-36479 CVE-2023-3817 CVE-2023-38408 CVE-2023-38709 CVE-2023-40167 CVE-2023-44487 CVE-2023-45802 CVE-2023-4807 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2023-5678 CVE-2024-0727 CVE-2024-13009 CVE-2024-22201 CVE-2024-24795 CVE-2024-27316 CVE-2024-3566 CVE-2024-38472 CVE-2024-38473 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-39573 CVE-2024-40898 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2024-5458 CVE-2024-6763 CVE-2024-8184 CVE-2024-9823 CVE-2025-23048 CVE-2025-26465 CVE-2025-32728 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020 CVE-2025-55753 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-66200

Disclaimer
This page contains threat intelligence information for the IPv4 address 161.132.53.88 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.