45.71.202.60 Threat Intelligence - Ecuador | IP Address Lookup

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General

IP Address
45.71.202.60
IPv4 Address
Location
🇪🇨 Piñas, Ecuador
EC
Network
AS52468
UFINET PANAMA S.A.
Threat Score
31/100
Medium Risk
blacklistdistributedhttpimageMalicious IPrangeresidential-proxyscraper
Attack Intelligence
Noticed
3 times
Protocols Attacked
fake mitre
Countries Attacked
United States of America
Open Ports Detected
161200055480808083
Geographic Location
Country
Ecuador
City
Piñas
Region
El Oro
Coordinates
-3.6851, -79.6814
Network Information
ASN
AS52468
Organization
UFINET PANAMA S.A.
Network
AS52468 UFINET PANAMA S.A.
WHOIS Information
inetnum
45.71.202.0/23
status
reallocated
aut-num
AS52468
owner
NEGOCIOS Y TELEFONIA NEDETEL S.A.
ownerid
EC-NESA6-LACNIC
responsible
Mario Augusto Silvestre Hernandez
address
Av. Perimetral Km. 4 y Francisco de Orellana, km.4, Ciudad Digital Nedetel
country
EC
phone
+593 44016300 [0000]
owner-c
JCM77
tech-c
JCM77
abuse-c
JCM77
inetrev
45.71.202.0/24
nserver
NS1.UFINETLATAM.NET
nsstat
20261026 AA
nslastaa
20261026
created
20170926
changed
20170926
inetnum-up
45.71.200.0/22
nic-hdl
JCM77
person
Daniel Parra
e-mail
dparral@ufinet.com
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Mitre T1593 Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Fake Googlebot Ip List 2026 10 21 Multiple View Log
2026-07-11 Webexploit Mitre T1593 Ip List 2026 07 11 Multiple View Log
2026-07-11 Webexploit Fake Googlebot Ip List 2026 07 11 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 45.71.202.60 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.