170.239.140.76 Threat Intelligence and Host Information

General

IP Address
170.239.140.76
IPv4 Address
Location
🇧🇷 Alto Alegre do Pindare, Brazil
BR
Network
AS266353
REDE BJNET TELECOMUNICACOES LTDA-ME
Threat Score
35/100
Medium Risk
AdbhoneyBruteforceBrute-Forceciscoconpotcowriedionaeafatt
Attack Intelligence
Open Ports Detected
7946
Geographic Location
Country
Brazil
City
Alto Alegre do Pindare
Region
Maranhao
Coordinates
-3.8359, -46.0387
Network Information
ASN
AS266353
Organization
REDE BJNET TELECOMUNICACOES LTDA-ME
Network
AS266353 REDE BJNET TELECOMUNICACOES LTDA-ME
WHOIS Information
NetRange
170.239.0.0 - 170.239.255.255
CIDR
170.239.0.0/16
NetName
LACNIC-ERX-170-239-0-0
NetHandle
NET-170-239-0-0-1
Parent
NET170 (NET-170-0-0-0-0)
NetType
Transferred to LACNIC
OriginAS
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2002-07-27
Updated
2018-03-15
Comment
Please see http://www.lacnic.net/ for further details,
Ref
https://rdap.arin.net/registry/entity/LACNIC
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
StateProv
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
Attack Logs
Date Target Location Protocol Link
2026-01-08 Toronto, Canada SSH View Log

  • Country: Brazil
  • Network:
  • Noticed: 9 times
  • Protocols Attacked: ssh
  • Passive DNS Results: redebjnet.net.br
Disclaimer
This page contains threat intelligence information for the IPv4 address 170.239.140.76 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.