149.19.166.20 Threat Intelligence - Brazil | IP Address Lookup

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General

IP Address
149.19.166.20
IPv4 Address
Location
🇧🇷 Brazil
BR
Network
AS14593
Space Exploration Technologies Corporati...
Threat Score
36/100
Medium Risk
brute-forcecredential-attackdigital oceanportscanscannerstpotvultr
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
3 times
Protocols Attacked
combined portscan
Geographic Location
Country
Brazil
City
Unknown
Region
Unknown
Coordinates
-22.8305, -43.2192
Network Information
ASN
AS14593
Organization
Space Exploration Technologies Corporation
Network
AS14593 Space Exploration Technologies Corporation
WHOIS Information
NetRange
149.19.160.0 - 149.19.175.255
CIDR
149.19.160.0/20
NetName
LACNIC
NetHandle
NET-149-19-160-0-1
Parent
NET149 (NET-149-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2021-04-05
Updated
2021-04-05
Ref
https://rdap.arin.net/registry/ip/149.19.160.0
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
OrgAbuseEmail
abuse@lacnic.net
Attack Logs
DateTarget LocationProtocolLink
2026-09-03 Digitaloceantoronto Combined Multiple View Log
2026-09-03 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.19.166.20 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.