198.12.46.5 Threat Intelligence - Argentina | IP Address Lookup

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General

IP Address
198.12.46.5
IPv4 Address
Location
🇦🇷 Comodoro Rivadavia, Argentina
AR
Network
AS28075
ARLINK S.A.
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Argentina
City
Comodoro Rivadavia
Region
Chubut
Coordinates
-45.6083, -67.7500
Network Information
ASN
AS28075
Organization
ARLINK S.A.
Network
AS28075 ARLINK S.A.
WHOIS Information
NetRange
198.12.32.0 - 198.12.63.255
CIDR
198.12.32.0/19
NetName
LACNIC-ERX-198-12-32-0
NetHandle
NET-198-12-32-0-1
Parent
NET198 (NET-198-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2004-08-30
Updated
2007-12-17
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/198.12.32.0
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
2026-10-21 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
2026-07-17 Webexploit Mitre T1593 Ip List 2026 07 17 Multiple View Log
2026-07-17 Webexploit Fake Googlebot Ip List 2026 07 17 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 198.12.46.5 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.