167.0.223.197 Threat Intelligence - Colombia | IP Address Lookup
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General
IP Address
167.0.223.197
Location
🇨🇴 Barranquilla, Colombia
Network
AS3816
Threat Score
36/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
3 times
Protocols Attacked
combined telnet
Geographic Location
Country
Colombia
City
Barranquilla
Region
Atlántico
Coordinates
10.9711, -74.7837
Network Information
ASN
AS3816
Organization
COLOMBIA TELECOMUNICACIONES S.A. ESP BIC
Network
AS3816 COLOMBIA TELECOMUNICACIONES S.A. ESP BIC
WHOIS Information
NetRange
167.0.0.0 - 167.0.255.255
CIDR
167.0.0.0/16
NetName
LACNIC-ERX-167-0-0-0
NetHandle
NET-167-0-0-0-1
Parent
NET167 (NET-167-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2010-11-03
Updated
2010-11-03
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/167.0.0.0
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
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-10 | Toronto, Canada | TELNET | View Log |
| 2026-08-10 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 167.0.223.197 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.