167.61.13.240 Threat Intelligence - Uruguay | IP Address Lookup

Share on:

General

IP Address
167.61.13.240
IPv4 Address
Location
🇺🇾 Montevideo, Uruguay
UY
Network
AS6057
Administracion Nacional de Telecomunicac...
Threat Score
29/100
Medium Risk
blacklistbotnetbruteforcedigital oceanMalicious IPscantcptelnet
Attack Intelligence
Noticed
2 times
Protocols Attacked
combined telnet
Geographic Location
Country
Uruguay
City
Montevideo
Region
Montevideo Department
Coordinates
-34.9087, -56.1539
Network Information
ASN
AS6057
Organization
Administracion Nacional de Telecomunicaciones
Network
AS6057 Administracion Nacional de Telecomunicaciones
WHOIS Information
NetRange
167.61.0.0 - 167.61.255.255
CIDR
167.61.0.0/16
NetName
LACNIC-ERX-167-61-0-0
NetHandle
NET-167-61-0-0-1
Parent
NET167 (NET-167-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2010-11-03
Updated
2010-11-17
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/167.61.0.0
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
2026-08-08 Digitaloceantoronto Combined Multiple View Log
2026-08-08 Toronto, Canada TELNET View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 167.61.13.240 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.