170.84.135.202 Threat Intelligence and Host Information

General

IP Address
170.84.135.202
IPv4 Address
Location
🇳🇮 Managua, Nicaragua
NI
Network
AS263765
XINWEI INTELCOM.NIC, S.A.
Threat Score
40/100
Medium Risk
cybersecurityDDoSiocmaliciousNextrayphishingRTBH
Attack Intelligence
MITRE ATT&CK Techniques
T1498 - Network Denial of Service
Open Ports Detected
10001
Geographic Location
Country
Nicaragua
City
Managua
Region
Departamento de Managua
Coordinates
12.1518, -86.2711
Network Information
ASN
AS263765
Organization
XINWEI INTELCOM.NIC, S.A.
Network
AS263765 XINWEI INTELCOM.NIC, S.A.
WHOIS Information
NetRange
170.84.0.0 - 170.84.227.255
CIDR
170.84.192.0/19, 170.84.128.0/18, 170.84.0.0/17, 170.84.224.0/22
NetName
LACNIC-ERX-170-84-0-0
NetHandle
NET-170-84-0-0-1
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
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
OrgAbusePhone
+598-2604-2222
OrgAbuseEmail
abuse@lacnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/LWI100-ARIN

  • Country: Nicaragua
  • Network:
  • Noticed: 50 times
  • Protocols Attacked: ssh
  • Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
Disclaimer
This page contains threat intelligence information for the IPv4 address 170.84.135.202 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.