181.113.114.61 Threat Intelligence - Ecuador | IP Address Lookup

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General

IP Address
181.113.114.61
IPv4 Address
Location
🇪🇨 Quito, Ecuador
EC
Network
AS28006
CORPORACION NACIONAL DE TELECOMUNICACION...
Threat Score
50/100
Medium Risk
Aggressive-Detectionbrute-forcebruteforceBruteforceBrute-ForceConnection-Resetcredential-attackcrowdsec
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1595 - Active Scanning
Noticed
20 times
Protocols Attacked
combined ssh
Countries Attacked
Australia, Finland, France, Germany, Poland, United States of America
Open Ports Detected
11014322254434655358770718443993995
Geographic Location
Country
Ecuador
City
Quito
Region
Pichincha
Coordinates
-0.2309, -78.5211
Network Information
ASN
AS28006
Organization
CORPORACION NACIONAL DE TELECOMUNICACIONES - CNT EP
Network
AS28006 CORPORACION NACIONAL DE TELECOMUNICACIONES - CNT EP
Associated CVEs
WHOIS Information
inetnum
181.113.0.0/16
status
allocated
aut-num
AS28006
owner
CORPORACION NACIONAL DE TELECOMUNICACIONES - CNT EP
ownerid
EC-ANSA-LACNIC
responsible
Sandra López - CNT EP
address
Reina Victoria y Veintimilla, Quito Ecuador, 113, CNT Edificio Mariscal 2do Piso
country
EC
phone
+593 023731700 [0000]
owner-c
EVG8
tech-c
EVG8
abuse-c
EVG8
inetrev
181.113.0.0/16
nserver
PICHINCHA.ANDINANET.NET
nsstat
20261012 AA
nslastaa
20261012
created
20130227
changed
20230222
nic-hdl
EVG8
person
Sandra López
e-mail
sandra.lopez@cnt.gob.ec
Attack Logs
DateTarget LocationProtocolLink
2026-10-07 Digitaloceanlondon Combined Multiple View Log
2026-10-07 London, UK SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 181.113.114.61 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.