138.94.252.61 Threat Intelligence - Guatemala | IP Address Lookup

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General

IP Address
138.94.252.61
IPv4 Address
Location
🇬🇹 Guatemala City, Guatemala
GT
Network
AS263763
REDES HIBRIDAS, S. A.
Threat Score
53/100
High Risk
blacklisthttpimageMalicious IPmalwarepayload-deliveryportscanrange
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
4 times
Protocols Attacked
combined portscan
Open Ports Detected
1612000
Geographic Location
Country
Guatemala
City
Guatemala City
Region
Guatemala
Coordinates
14.6343, -90.5155
Network Information
ASN
AS263763
Organization
REDES HIBRIDAS, S. A.
Network
AS263763 REDES HIBRIDAS, S. A.
WHOIS Information
NetRange
138.94.0.0 - 138.94.255.255
CIDR
138.94.0.0/16
NetName
LACNIC-ERX-138-94-0-0
NetHandle
NET-138-94-0-0-1
Parent
NET138 (NET-138-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2010-11-19
Updated
2010-11-19
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/138.94.0.0
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
2026-09-07 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 138.94.252.61 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.