66.154.119.223 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
66.154.119.223
IPv4 Address
Location
🇺🇸 St Louis, United States
US
Network
AS7393
CYBERCON, INC.
Threat Score
41/100
Medium Risk
blacklistbotnetbruteforceciscocowriedhcpelasticsearchftp
Attack Intelligence
Noticed
10 times
Protocols Attacked
mitre
Countries Attacked
Australia, Malaysia
Open Ports Detected
44380
Geographic Location
Country
United States
City
St Louis
Region
Missouri
Coordinates
38.6364, -90.1985
Network Information
ASN
AS7393
Organization
CYBERCON, INC.
Network
AS7393 CYBERCON, INC.
WHOIS Information
NetRange
66.154.96.0 - 66.154.127.255
CIDR
66.154.96.0/19
NetName
ASSERTIVENETWORKS
NetHandle
NET-66-154-96-0-1
Parent
NET66 (NET-66-0-0-0-0)
NetType
Direct Allocation
Organization
ASSERTIVENET (ASSER)
RegDate
2003-10-01
Updated
2012-03-02
Ref
https://rdap.arin.net/registry/ip/66.154.96.0
OrgName
ASSERTIVENET
OrgId
ASSER
Address
555 West Hastings St.
City
Vancouver
StateProv
BC
PostalCode
V6B-4N5
Country
CA
Comment
Reassignment information for this network is available
OrgAbuseHandle
QUADR4-ARIN
OrgAbuseName
QuadraNet Abuse
OrgAbusePhone
+1-213-614-8371
OrgAbuseEmail
abuse@quadranet.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/QUADR4-ARIN
OrgTechHandle
QUADR4-ARIN
Attack Logs
DateTarget LocationProtocolLink
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
2025-11-04 Cve 2024 4577 Attacker Ip List 2025 11 04 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 66.154.119.223 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.