149.78.37.133 Threat Intelligence - Argentina | IP Address Lookup

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General

IP Address
149.78.37.133
IPv4 Address
Location
🇦🇷 Moreno, Argentina
AR
Network
AS263801
LINKEAR SRL
Threat Score
35/100
Medium Risk
attacker-ipautomatedblacklistbotnetbruteforcecowriedigital oceandionaea
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
8 times
Protocols Attacked
combined portscan telnet
Open Ports Detected
2344380
Geographic Location
Country
Argentina
City
Moreno
Region
Buenos Aires
Coordinates
-34.6313, -58.8022
Network Information
ASN
AS263801
Organization
LINKEAR SRL
Network
AS263801 LINKEAR SRL
WHOIS Information
NetRange
149.78.0.0 - 149.78.255.255
CIDR
149.78.0.0/16
NetName
COGENT-149-78-16
NetHandle
NET-149-78-0-0-1
Parent
NET149 (NET-149-0-0-0-0)
NetType
Direct Allocation
Organization
Cogent Communications, LLC (COGC)
RegDate
1992-01-28
Updated
2025-09-23
Ref
https://rdap.arin.net/registry/ip/149.78.0.0
OrgName
Cogent Communications, LLC
OrgId
COGC
Address
2450 N Street NW
City
Washington
StateProv
DC
PostalCode
20037
Country
US
Comment
Geofeed https://geofeed.cogentco.com/geofeed.csv
OrgAbuseHandle
COGEN-ARIN
OrgAbuseName
Cogent Abuse
OrgAbusePhone
+1-877-875-4311
OrgAbuseEmail
abuse@cogentco.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/COGEN-ARIN
OrgTechHandle
IPALL-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-08-17 Digitaloceantoronto Combined Multiple View Log
2026-08-12 Toronto, Canada TELNET View Log
2026-08-12 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.78.37.133 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.