166.1.160.11 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
166.1.160.11
IPv4 Address
Location
🇺🇸 Secaucus, United States
US
Network
AS41745
Baykov Ilya Sergeevich
Threat Score
40/100
Medium Risk
bruteforcecowriedionaeafatthoneytrapmailoneymalwarep0f
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
11 times
Protocols Attacked
combined portscan
Open Ports Detected
22
Geographic Location
Country
United States
City
Secaucus
Region
New Jersey
Coordinates
40.7908, -74.0560
Network Information
ASN
AS41745
Organization
Baykov Ilya Sergeevich
Network
AS41745 Baykov Ilya Sergeevich
WHOIS Information
NetRange
166.0.0.0 - 166.1.255.255
CIDR
166.0.0.0/15
NetName
ACE-NETWORK-10
NetHandle
NET-166-0-0-0-1
Parent
NET166 (NET-166-0-0-0-0)
NetType
Direct Allocation
Organization
Ace Data Centers, Inc. (ADC-96)
RegDate
2012-07-10
Updated
2026-06-16
Comment
https://www.acedatacenter.com | https://www.aceips.com
Ref
https://rdap.arin.net/registry/ip/166.0.0.0
OrgName
Ace Data Centers, Inc.
OrgId
ADC-96
Address
727 North 1550 East
City
Orem
StateProv
UT
PostalCode
84097
Country
US
OrgTechHandle
LOWRY55-ARIN
OrgTechName
Lowry, Justin
OrgTechPhone
+1-801-900-4260
OrgTechEmail
justin@acedatacenter.com
OrgTechRef
https://rdap.arin.net/registry/entity/LOWRY55-ARIN
OrgAbuseHandle
ABUSE8727-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-08-18 Digitaloceantoronto Combined Multiple View Log
2026-08-10 Vultrmelbournetest Combined Multiple View Log
2026-08-08 Vultrmelbournetest Combined Multiple View Log
2026-08-07 Vultrmelbournetest Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 166.1.160.11 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.