152.0.26.110 Threat Intelligence - Dominican Republic | IP Address Lookup

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General

IP Address
152.0.26.110
IPv4 Address
Location
🇩🇴 Santo Domingo, Dominican Republic
DO
Network
AS6400
Compania Dominicana de Telefonos S. A.
Threat Score
29/100
Medium Risk
bruteforcedigital oceanportscanscannerstelnet
Attack Intelligence
Noticed
2 times
Protocols Attacked
combined portscan telnet
Geographic Location
Country
Dominican Republic
City
Santo Domingo
Region
Nacional
Coordinates
18.4972, -69.8756
Network Information
ASN
AS6400
Organization
Compania Dominicana de Telefonos S. A.
Network
AS6400 Compania Dominicana de Telefonos S. A.
WHOIS Information
NetRange
152.0.0.0 - 152.0.255.255
CIDR
152.0.0.0/16
NetName
LACNIC-ERX-152-0-0-0
NetHandle
NET-152-0-0-0-1
Parent
NET152 (NET-152-0-0-0-0)
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/152.0.0.0
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
DateTarget LocationProtocolLink
2026-08-28 Toronto, Canada TELNET View Log
2026-08-28 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 152.0.26.110 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.