38.50.61.149 Threat Intelligence - Argentina | IP Address Lookup

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General

IP Address
38.50.61.149
IPv4 Address
Location
🇦🇷 Tres Arroyos, Argentina
AR
Network
AS267802
Black Net S.R.L
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Argentina
City
Tres Arroyos
Region
Buenos Aires
Coordinates
-38.2000, -60.2833
Network Information
ASN
AS267802
Organization
Black Net S.R.L
Network
AS267802 Black Net S.R.L
WHOIS Information
NetRange
38.0.0.0 - 38.255.255.255
CIDR
38.0.0.0/8
NetName
COGENT-A
NetHandle
NET-38-0-0-0-1
Parent
()
NetType
Direct Allocation
Organization
Cogent Communications, LLC (COGC)
RegDate
1991-04-16
Updated
2025-09-23
Ref
https://rdap.arin.net/registry/ip/38.0.0.0
OrgTechHandle
IPALL-ARIN
OrgTechName
IP Allocation
OrgTechPhone
+1-877-875-4311
OrgTechEmail
ipalloc@cogentco.com
OrgTechRef
https://rdap.arin.net/registry/entity/IPALL-ARIN
OrgNOCHandle
ZC108-ARIN
OrgNOCName
Cogent Communications
OrgNOCPhone
+1-877-875-4311
OrgNOCEmail
noc@cogentco.com
OrgNOCRef
https://rdap.arin.net/registry/entity/ZC108-ARIN
OrgAbuseHandle
COGEN-ARIN
OrgAbuseName
Cogent Abuse
OrgAbusePhone
+1-877-875-4311
OrgAbuseEmail
abuse@cogentco.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
2026-07-13 Webexploit Fake Googlebot Ip List 2026 07 13 Multiple View Log
2026-07-13 Webexploit Mitre T1593 Ip List 2026 07 13 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 38.50.61.149 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.