161.10.64.101 Threat Intelligence - Colombia | IP Address Lookup
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General
IP Address
161.10.64.101
Location
🇨🇴 Pereira, Colombia
Network
AS3816
Threat Score
30/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
8 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Australia
Geographic Location
Country
Colombia
City
Pereira
Region
Risaralda Department
Coordinates
4.8142, -75.6946
Network Information
ASN
AS3816
Organization
COLOMBIA TELECOMUNICACIONES S.A. ESP BIC
Network
AS3816 COLOMBIA TELECOMUNICACIONES S.A. ESP BIC
WHOIS Information
NetRange
161.10.0.0 - 161.10.255.255
CIDR
161.10.0.0/16
NetName
LACNIC-ERX-161-10-0-0
NetHandle
NET-161-10-0-0-1
Parent
NET161 (NET-161-0-0-0-0)
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/161.10.0.0
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
PostalCode
11400
Country
UY
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
OrgAbusePhone
+598-2604-2222
OrgAbuseEmail
abuse@lacnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/LWI100-ARIN
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-10 | Vultrmelbournetest | SSH | View Log |
| 2026-08-10 | Vultrmelbournetest Combined | Multiple | View Log |
| 2026-08-09 | Vultrtokyo Combined | Multiple | View Log |
| 2026-08-09 | Vultrtokyo | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 161.10.64.101 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.