70.135.157.101 Threat Intelligence and Host Information

General

IP Address
70.135.157.101
IPv4 Address
Location
🇺🇸 Hialeah, United States
US
Network
AS7018
ATT-INTERNET4
Threat Score
40/100
Medium Risk
awsbotnetcybersecurityiocmaliciousNextrayphishing
Geographic Location
Country
United States
City
Hialeah
Region
Florida
Coordinates
25.8539, -80.2677
Network Information
ASN
AS7018
Organization
ATT-INTERNET4
Network
AS7018 ATT-INTERNET4
WHOIS Information
NetRange
70.132.64.0 - 70.143.255.255
CIDR
70.132.128.0/17, 70.136.0.0/13, 70.132.64.0/18, 70.134.0.0/15, 70.133.0.0/16
NetName
SBCIS-SIS80
NetHandle
NET-70-132-64-0-1
Parent
NET70 (NET-70-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
AT&T Enterprises, LLC (AEL-360)
RegDate
2024-11-22
Updated
2025-03-21
Ref
https://rdap.arin.net/registry/entity/AEL-360
OrgName
AT&T Enterprises, LLC
OrgId
AEL-360
Address
208 S. Akard St.
City
Dallas
StateProv
TX
PostalCode
75202
Country
US
OrgTechHandle
ZS44-ARIN
OrgTechName
IPAdmin-ATT Internet Services
OrgTechPhone
+1-888-510-5545
OrgTechEmail
ipadmin@att.com
OrgTechRef
https://rdap.arin.net/registry/entity/ZS44-ARIN
OrgAbuseHandle
ABUSE7-ARIN
Attack Logs
Date Target Location Protocol Link
2023-04-28 Dosing SSH View Log

  • Country: United States
  • Network:
  • Noticed: 45 times
  • Protocols Attacked: ssh
  • Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Singapore, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
  • Passive DNS Results: device-d8129ce5-f741-4eaa-9bce-1492d178d258.remotewd.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 70.135.157.101 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.