168.181.161.205 Threat Intelligence - Costa Rica | IP Address Lookup

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General

IP Address
168.181.161.205
IPv4 Address
Location
🇨🇷 San José, Costa Rica
CR
Network
AS264686
STREET FIBER S.A.
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Open Ports Detected
1611701172320002244345005382918728
Geographic Location
Country
Costa Rica
City
San José
Region
Provincia de San José
Coordinates
9.9333, -84.0845
Network Information
ASN
AS264686
Organization
STREET FIBER S.A.
Network
AS264686 STREET FIBER S.A.
WHOIS Information
NetRange
168.181.0.0 - 168.181.255.255
CIDR
168.181.0.0/16
NetName
LACNIC-ERX-168-181-0-0
NetHandle
NET-168-181-0-0-1
Parent
NET168 (NET-168-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2010-11-03
Updated
2010-11-17
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/168.181.0.0
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
2026-10-21 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
2026-07-15 Webexploit Mitre T1593 Ip List 2026 07 15 Multiple View Log
2026-07-15 Webexploit Fake Googlebot Ip List 2026 07 15 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 168.181.161.205 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.