209.14.148.36 Threat Intelligence - Brazil | IP Address Lookup

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General

IP Address
209.14.148.36
IPv4 Address
Location
🇧🇷 Santa Cruz Cabrália, Brazil
BR
Network
AS268255
FIBRANET BRASIL
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
Brazil
City
Santa Cruz Cabrália
Region
Bahia
Coordinates
-16.2774, -39.1693
Network Information
ASN
AS268255
Organization
FIBRANET BRASIL
Network
AS268255 FIBRANET BRASIL
WHOIS Information
NetRange
209.14.0.0 - 209.14.255.255
CIDR
209.14.0.0/16
NetName
COGENT-209-14-16
NetHandle
NET-209-14-0-0-1
Parent
NET209 (NET-209-0-0-0-0)
NetType
Direct Allocation
Organization
Cogent Communications, LLC (COGC)
RegDate
1996-12-31
Updated
2025-09-23
Ref
https://rdap.arin.net/registry/ip/209.14.0.0
OrgName
Cogent Communications, LLC
OrgId
COGC
Address
2450 N Street NW
City
Washington
StateProv
DC
PostalCode
20037
Country
US
Comment
Geofeed https://geofeed.cogentco.com/geofeed.csv
OrgTechHandle
IPALL-ARIN
OrgTechName
IP Allocation
OrgTechPhone
+1-877-875-4311
OrgTechEmail
ipalloc@cogentco.com
OrgTechRef
https://rdap.arin.net/registry/entity/IPALL-ARIN
OrgNOCHandle
ZC108-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
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 209.14.148.36 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.