104.191.174.129 Threat Intelligence and Host Information

General

IP Address
104.191.174.129
IPv4 Address
Location
🇺🇸 Paducah, United States
US
Network
AS7018
ATT-INTERNET4
Threat Score
60/100
High Risk
adminattackblacklistbotnetBruteforcecowriecybersecurity
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Geographic Location
Country
United States
City
Paducah
Region
Kentucky
Coordinates
37.0634, -88.6632
Network Information
ASN
AS7018
Organization
ATT-INTERNET4
Network
AS7018 ATT-INTERNET4
WHOIS Information
NetRange
104.176.0.0 - 104.191.255.255
CIDR
104.176.0.0/12
NetName
SIS-80-7-29-2014
NetHandle
NET-104-176-0-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS7132
Organization
AT&T Corp. (AC-3280)
RegDate
2018-03-05
Updated
2021-06-26
Ref
https://rdap.arin.net/registry/entity/AC-3280
OrgName
AT&T Corp.
OrgId
AC-3280
Address
Attn: IP Management
City
Redmond
StateProv
WA
PostalCode
98052
Country
US
Comment
Fax: 888-938-4715
OrgAbuseHandle
ABUSE7-ARIN
OrgAbuseName
abuse
OrgAbusePhone
+1-919-319-8167
OrgAbuseEmail
abuse@att.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE7-ARIN

  • Country: United States
  • Network: AS7018 att services inc
  • Noticed: 1 times
  • Protcols 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 104.191.174.129 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.