209.14.71.154 Threat Intelligence - Brazil | IP Address Lookup
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General
IP Address
209.14.71.154
Location
🇧🇷 Barueri, Brazil
Network
AS268581
Threat Score
17/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
mitre
Passive DNS
sip.phonevox.com.br
Open Ports Detected
22506080
Geographic Location
Country
Brazil
City
Barueri
Region
São Paulo
Coordinates
-23.5111, -46.8727
Network Information
ASN
AS268581
Organization
QNAX LTDA
Network
AS268581 QNAX LTDA
Associated CVEs
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
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Cve 2021 42013 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Webexploit Mitre T1083 Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2021 41773 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2024-08-12 | Cve 2024 4577 Attacker Ip List 2024 08 12 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 209.14.71.154 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.