216.244.224.79 Threat Intelligence - Argentina | IP Address Lookup
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General
IP Address
216.244.224.79
Location
🇦🇷 Puerto Madryn, Argentina
Network
AS10617
Threat Score
55/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
9 times
Protocols Attacked
combined portscan
Geographic Location
Country
Argentina
City
Puerto Madryn
Region
Chubut
Coordinates
-42.7620, -65.0539
Network Information
ASN
AS10617
Organization
SION S.A
Network
AS10617 SION S.A
WHOIS Information
NetRange
216.244.128.0 - 216.244.255.255
CIDR
216.244.128.0/17
NetName
LACNIC-216-244-128-0
NetHandle
NET-216-244-128-0-1
Parent
NET216 (NET-216-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2003-05-13
Updated
2007-12-17
Comment
This IP address range is under LACNIC responsibility for further
Ref
https://rdap.arin.net/registry/ip/216.244.128.0
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
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-25 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 216.244.224.79 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.