23.144.160.164 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
23.144.160.164
IPv4 Address
Location
🇺🇸 United States
US
Network
AS32727
SB Professional Services
Threat Score
24/100
Low Risk
aws-credentialsenv-credential-grabrevproxyweb-exploit
Attack Intelligence
Noticed
2 times
Protocols Attacked
aws env
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS32727
Organization
SB Professional Services
Network
AS32727 SB Professional Services
WHOIS Information
NetRange
23.144.160.0 - 23.144.160.255
CIDR
23.144.160.0/24
NetName
SB-FMT-IPV4-01
NetHandle
NET-23-144-160-0-1
Parent
NET23 (NET-23-0-0-0-0)
NetType
Direct Allocation
Organization
SB Professional Services (SPSL-25)
RegDate
2018-08-13
Updated
2018-08-13
Comment
https://www.sb/
Ref
https://rdap.arin.net/registry/ip/23.144.160.0
OrgName
SB Professional Services
OrgId
SPSL-25
Address
1055 West 7th Street
City
Los Angeles
StateProv
CA
PostalCode
90017
Country
US
OrgNOCHandle
SBNOC-ARIN
OrgNOCName
SB NOC
OrgNOCPhone
+1-608-618-2777
OrgNOCEmail
sb@sb.sb
OrgNOCRef
https://rdap.arin.net/registry/entity/SBNOC-ARIN
OrgTechHandle
SBNOC-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-10-21 Webexploit Env Credential Grab Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Env Variant Credential Grab Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Aws Credentials Ip List 2026 10 21 Multiple View Log
2026-10-16 Webexploit Env Variant Credential Grab Ip List 2026 10 16 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 23.144.160.164 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.